Quantitative Research Skills 2022, Assignment 5
Final Assignment
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Assignment 5: Final Assignment
This analysis will be based on a secondary data set (FSD3494) collected for exploring Finnish Values and Attitudes Autumn 2020. In the current study, it will be used for analyzing the correlation between Fin’s attitude towards happiness and their self-perceived state of happiness, controlling for a number of other factors.
1. Preparation
1.1 prepare the dataset
library(tidyverse)# for wrangling data
library(tidyr)# for wrangling data
library(haven)#to use the function "read_por"
#Convert statistical analysis objects from R into tidy tibbles
#load the data set "FSD3494 EVA Survey on Finnish Values and Attitudes Autumn 2020"
#sport1 <- read_por("daF3510.por")#number 8 sport
#sport1 <- read_por("daF3077e.por")#number 1 welfare
#sport1 <- read_por("daF3172e.por")#number 3 consumer habit#problematic
#sport1 <- read_por("daF3061e.por")#china maternal
#load metadata
fin1 <- read_por("daF3494e.por")
#prepare a factor version of fin1
finF <- as_factor(fin1)# "F" is for "factor".#sportF %>% select(-C4A) %>% select(starts_with("c4"))
#fin1 <- fin1 %>% mutate(across(starts_with("Q7"), ~replace(., . == 6, NA)))#replace "Can't say" with NA
#fin1 <- fin1 %>% mutate(across(starts_with("Q4"), ~replace(., . == 5 | . == 6, NA)))#replace "Can't say" with NA
#fin1 %>% count(Q4) #check if NAs of Q4 has been properly generated.
#finFjoy <- finF %>% select(starts_with("Q7")) #subset columns for attitude of happiness, for numeric data set
#fin1joy <- fin1 %>% select(starts_with("Q7")) #subset columns for attitude of happiness, for factor data set
#fin1 %>% select(starts_with("Q7")) %>% summary()#inspect
#finF %>% select(starts_with("Q7")) %>% summary()#inspect1.2 prepare a codebook
Although the variable and level labels are already clear by referring to two versions of data sets, the analysis would be even more efficient with a easy-to-read code book, which will be generated herein.
library(DT)#data table
library(sjlabelled)#to use function get_labels
library(expss)#to use the function var_lab
var_book <- lapply(finF, function(x)var_lab(x)) #pass variable labels into an object
val_book <- lapply(finF, function(x)get_labels(x)) #pass level labels into an object
val_book <- lapply(val_book, function(x)paste(x, collapse="\n***")) # collapse level labels so that each variable
#has all value labels in one grid. Add a new line between level labels so they have better readability.
###discard: codebook <- append(var_book, val_book)
all_levels <- unlist(val_book) #convert list into vector
all_items <- unlist(var_book) #convert list into vector
codebook <- data.frame(all_items, all_levels) # generate a codebook which has variable label as a column and
#level labels as another. Easy for reading.
datatable(codebook, caption = "Table: Code book") #inspect the # codebook It's good, searchable by the aide of "database()". If the code book is searchable via code, it would be nicer.
#Try to made the code book "searchable" with code.
search <- t(codebook) #transpose it
search <- as.data.frame(search) # convert to data frame, pass it to "search".
search %>%
select(Q5) %>%
datatable(caption = "Table: Item and level lables
for Q5") #try "search". Search items starting with Q5Code books are ready now.
1.3 generate variable for analysis
Each year the UN releases a World Happiness Report showing which are the best countries to live in the world. 2022’s version has seen Finland come out in the top spot again. That is for the sixth year running. Meanwhile, it is interesting that Finland also has an alcohol problem. A 2020 study reported that, in the population of 5.5 million people in Finland, at least 270,000 Finns had experienced problems resulting from their own alcohol use in at least one area of life during the previous year. As such, I am very interested in digging into fin’s attitude towards happiness, self-perceived happiness, self-perceived alcohol consumption change during Pandemic and their correlations. The flowchart below shows the variables that were selected from meta data set for the present analysis (red box above), and also shows how the missing values were treated (red box below).
library(DiagrammeR)#install.packages("DiagrammeR"), a package for making flowchart
DiagrammeR::grViz("digraph {
graph [layout = dot, rankdir = RR, nodesep = 0.5, ranksep = 0.8, color = crimson, penwidth =5]
node [shape = box, fontcolor = white, fontsize=50, width = 3, height = 1.5, fillcolor = DimGrey, style = filled]
0 [label = 'Metadata', width = 14]
1 [label = 'Q4', width =7]
2 [label = 'Q7_1 to Q7_14', width = 7]
3 [label = 'Q11_4_1 to Q11_4_6', width = 7]
4 [label = 'T1 to T14, BV1, BV2', width = 7]
5 [label = 'Other Variables \n held out', width = 7]
1.5 [label = 'Self-perceived \n happiness (n=2)', width = 7]
2.5 [label = 'Hhappiness \n attitude (n=14)', width = 7]
3.5[label = 'Alcohol abuse \n (n =2)', width = 7]
4.5[label = 'Demographics \n (n = 16)', width = 7]
6[label = 'New raw data set for analysis \n (variables n = 34, cases n = 2019)', width = 15]
s1[label = 'Gernal Case Screening \n (n = 2019)', width = 15]
s2[label = 'Case Screening base on \n variables of major interest \n (n = 2019)', width = 15]
s3[label = 'Final data set for analysis \n (variables n = 34, cases n = 1938)', width = 22.1]
blanka[label = '', width = 0.01, height = 0.01]
blankb[label = '', width = 0.01, height = 0.01]
ss1[label = 'Remove cases \n with ≥ half (34/2 = 17) of \n the reponses being NA (n = 0)', width = 10]
ss2[label = 'Remove cases \n a. with any NA in self- perceived \n happiness (dependent variable in \n modelling) (n = 71) \n b. with half (14/2= 7) of the \nresponses being NA in happiness \n attitude variables (most-interested \n predictors in modelling) (n = 10)', width = 8]
0 -> {1 2 3 4};
{ rank = same;0 -> 5}
subgraph cluster1 {
1 -> 1.5;
2 -> 2.5;
3 -> 3.5;
4 -> 4.5;
{1.5 2.5 3.5 4.5} -> 6;}
subgraph cluster2 {
6 -> s1;
s1 -> blanka[ dir = none, ranksep = 0.05 ];
{ rank = same; blanka -> ss1 [minlen = 2]};
blanka -> s2 [ranksep = 0.05 ];
s2 -> blankb[ dir = none ];
{ rank = same; blankb -> ss2 [minlen = 2]};
blankb -> s3;}
}")Flowchart about variables used (red box above) and missing value treatment (red box below)
1.3.1 generate variables about happiness attitude
Items Q7_1 to Q7_14 asked about participant’s perceived importance of 14 happiness sources. These items reflect their attitude towards happiness. Perhaps there are latent constructs underlying them.
#inspect variable and level labels of items Q7s
search %>% select(starts_with("Q7")) %>%
datatable(caption = "Table: Code book for items about happiness attitude",
class = 'cell-border stripe') #inspect value counts of Q7s
fin1 %>% select (starts_with("Q7")) %>% sapply(.,function(x)table(x)) ## Q7_1 Q7_2 Q7_3 Q7_4 Q7_5 Q7_6 Q7_7 Q7_8 Q7_9 Q7_10 Q7_11 Q7_12 Q7_13 Q7_14
## 1 1280 1031 1071 990 139 1386 578 575 542 622 66 139 190 721
## 2 520 706 594 792 319 501 892 830 769 796 264 474 174 698
## 3 141 221 232 194 684 108 359 402 515 484 595 796 284 419
## 4 41 33 53 20 695 6 49 80 129 75 769 454 381 127
## 5 10 10 17 5 141 4 21 22 17 16 262 88 835 28
## 6 27 18 52 18 41 14 120 110 47 26 63 68 155 26Items Inspecting the code-book and value counts, it is found that “6” denotes “Can’t say”, which should be converted to NA. It is also notable that some items, such as Q7_13, are plagued by missing values. I will treat this issue after variable generation. Besides, the levels starts from “very important” towards “not at all”, which would be more plausible if reversed (from least importance to biggest importance).
library(finalfit)#for missing_glimpse
#convert value 5 in items Q7s into NA
fin1 <- fin1 %>%
mutate(across(starts_with("Q7"), ~replace(., . == 6, NA)))
#inspect value counts after conversion
fin1 %>% select (starts_with("Q7")) %>%
sapply(.,function(x)table(x))## Q7_1 Q7_2 Q7_3 Q7_4 Q7_5 Q7_6 Q7_7 Q7_8 Q7_9 Q7_10 Q7_11 Q7_12 Q7_13 Q7_14
## 1 1280 1031 1071 990 139 1386 578 575 542 622 66 139 190 721
## 2 520 706 594 792 319 501 892 830 769 796 264 474 174 698
## 3 141 221 232 194 684 108 359 402 515 484 595 796 284 419
## 4 41 33 53 20 695 6 49 80 129 75 769 454 381 127
## 5 10 10 17 5 141 4 21 22 17 16 262 88 835 28#inspect NAs after conversion
fin1 %>% select(starts_with("Q7")) %>%
missing_glimpse() %>%
datatable(caption = "Table: Number of NAs after conversion",
class = 'cell-border stripe')Level “6” has been replaced. The number of NAs was checked and found to be consistent with previous “6”s for each Q7 item. Done!
library(broom)#to diplay tidy table
#pass the values into new columns with new names for better understandability
fin1 <- fin1 %>% mutate(happy_family = 6-Q7_1, #have 6 minus each value so that
happy_social = 6-Q7_2, #the value orders are reversed
happy_love = 6-Q7_3, #(e.g. 5->1, 1->5).
happy_income = 6-Q7_4,
happy_wealth = 6-Q7_5,
happy_health = 6-Q7_6,
happy_likejob = 6-Q7_7,
happy_employed = 6-Q7_8,
happy_learn.expc = 6-Q7_9,
happy_time.hobby = 6-Q7_10,
happy_status = 6-Q7_11,
happy_influence = 6-Q7_12,
happy_religion = 6-Q7_13,
happy_nature = 6-Q7_14)
#inspect new columns
fin1 %>%
select(which(colnames(fin1) == "happy_family") : ncol(fin1)) %>%
datatable(caption = "Table: The data set for analysis",
class = 'cell-border stripe')#I will not further label them since I am going to do factor analysis on them.1.3.2 generate variables about perceived happiness
Item Q4 asked the respondent's self-perceived happiness. It is a one-item question.#inspect variable and level labels of items Q4
search %>%
select(Q4) %>%
datatable(caption = "Table: Code book about self-perceived happiness")#inspect value counts of Q4
fin1 %>% count(Q4)## # A tibble: 6 × 2
## Q4 n
## <dbl+lbl> <int>
## 1 1 [Very happy] 292
## 2 2 [Fairly happy] 1244
## 3 3 [Not very happy] 350
## 4 4 [Not at all happy] 62
## 5 5 [Can't say] 36
## 6 6 [Don't want to say/assess] 35Items Inspecting the code-book and value counts, it is found that “5” and “6” denotes “Can’t say” and “Don’t want to say/assess”, respectively, which should be converted to NA.
#convert value 5 in items Q7s into NA
fin1$Q4 <- replace(fin1$Q4, fin1$Q4 >=5, NA)
#inspect value counts after conversion
fin1 %>% count(Q4)## # A tibble: 5 × 2
## Q4 n
## <dbl+lbl> <int>
## 1 1 [Very happy] 292
## 2 2 [Fairly happy] 1244
## 3 3 [Not very happy] 350
## 4 4 [Not at all happy] 62
## 5 NA 71Now the number of NAs equals to 36+35=71. Done!
library(finalfit)# to use function ff_label
#pass the values into new columns with new names for better understandability
fin1 <- fin1 %>%
mutate(feel_happy = Q4 %>% factor() %>%
fct_recode("very happy" = "1",
"Fairly happy" = "2",
"Not very happy" = "3",
"Not at all happy" = "4") %>%
fct_rev() %>% #reverse the level to get better
# interpretability in modeling
ff_label("self-perceived happiness"))
#create a new binary variable about self-perceieved happiness
fin1 <- fin1 %>%
mutate(if_feel_happy =
case_when(feel_happy == "very happy" ~ "happy",
feel_happy == "Fairly happy" ~ "happy",
feel_happy == "Not very happy" ~ "unhappy",
feel_happy == "Not at all happy" ~ "unhappy") %>%
ff_label("feel happy or unhappy") %>% factor %>%
fct_rev()
)
#inspect new columns
fin1 %>% select(which(colnames(fin1) == "happy_family") : ncol(fin1))## # A tibble: 2,019 × 16
## happy_family happy_…¹ happy…² happy…³ happy…⁴ happy…⁵ happy…⁶ happy…⁷ happy…⁸
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 5 4 5 3 1 5 5 2 5
## 2 5 5 5 5 3 4 4 3 4
## 3 5 5 5 5 2 5 4 4 4
## 4 4 4 4 5 3 4 4 4 4
## 5 5 5 5 5 2 5 4 4 5
## 6 5 4 5 5 2 3 3 4 5
## 7 5 4 5 4 3 5 4 4 4
## 8 5 5 4 4 2 3 4 4 4
## 9 5 3 2 5 2 5 5 5 2
## 10 5 5 5 5 2 5 NA 4 3
## # … with 2,009 more rows, 7 more variables: happy_time.hobby <dbl>,
## # happy_status <dbl>, happy_influence <dbl>, happy_religion <dbl>,
## # happy_nature <dbl>, feel_happy <fct>, if_feel_happy <fct>, and abbreviated
## # variable names ¹happy_social, ²happy_love, ³happy_income, ⁴happy_wealth,
## # ⁵happy_health, ⁶happy_likejob, ⁷happy_employed, ⁸happy_learn.expccount(fin1, feel_happy)## # A tibble: 5 × 2
## feel_happy n
## <fct> <int>
## 1 Not at all happy 62
## 2 Not very happy 350
## 3 Fairly happy 1244
## 4 very happy 292
## 5 <NA> 71count(fin1, if_feel_happy)## # A tibble: 3 × 2
## if_feel_happy n
## <fct> <int>
## 1 unhappy 412
## 2 happy 1536
## 3 <NA> 711.3.3 generate variables about alcohol abuse
Items Q11_4_1 to Q11_4_6 (note that Q11_4_3 does not exist) asked about participant’s experienced or witnessed alcohol abuse from different parties, including themselves, their family, friends and work community.
#inspect variable and level labels of items Q11s
search %>%
select(starts_with("Q11_4")) %>%
datatable(caption = "Table: Code book about alcohol-related questions",
class = 'cell-border stripe')#inspect the levels of alcohol-related items.
fin1 %>% select (starts_with("Q11_4")) %>% sapply(.,function(x)table(x))## Q11_4_1 Q11_4_2 Q11_4_4 Q11_4_5 Q11_4_6
## 0 1943 1667 1533 1809 910
## 1 76 352 486 210 1109#inspect cases who have alcohol abuse
fin1 %>%
filter(Q11_4_1 == 1) %>% select(starts_with("Q11_4"))## # A tibble: 76 × 5
## Q11_4_1 Q11_4_2 Q11_4_4 Q11_4_5 Q11_4_6
## <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl>
## 1 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m…
## 2 1 [Mentioned] 1 [Mentioned] 1 [Mentioned] 1 [Mentioned] 0 [Not m…
## 3 1 [Mentioned] 1 [Mentioned] 1 [Mentioned] 0 [Not mentioned] 0 [Not m…
## 4 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m…
## 5 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m…
## 6 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m…
## 7 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m…
## 8 1 [Mentioned] 0 [Not mentioned] 1 [Mentioned] 0 [Not mentioned] 0 [Not m…
## 9 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m…
## 10 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m…
## # … with 66 more rows#inspect the contingency of alcohol related items
fin1 %>%
count(Q11_4_1, Q11_4_2, Q11_4_4, Q11_4_5, Q11_4_6) ## # A tibble: 15 × 6
## Q11_4_1 Q11_4_2 Q11_4_4 Q11_4_5 Q11_4_6 n
## <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+l> <int>
## 1 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m… 1 [Men… 1109
## 2 0 [Not mentioned] 0 [Not mentioned] 0 [Not mentioned] 1 [Menti… 0 [Not… 133
## 3 0 [Not mentioned] 0 [Not mentioned] 1 [Mentioned] 0 [Not m… 0 [Not… 338
## 4 0 [Not mentioned] 0 [Not mentioned] 1 [Mentioned] 1 [Menti… 0 [Not… 42
## 5 0 [Not mentioned] 1 [Mentioned] 0 [Not mentioned] 0 [Not m… 0 [Not… 232
## 6 0 [Not mentioned] 1 [Mentioned] 0 [Not mentioned] 1 [Menti… 0 [Not… 14
## 7 0 [Not mentioned] 1 [Mentioned] 1 [Mentioned] 0 [Not m… 0 [Not… 62
## 8 0 [Not mentioned] 1 [Mentioned] 1 [Mentioned] 1 [Menti… 0 [Not… 13
## 9 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 0 [Not m… 0 [Not… 33
## 10 1 [Mentioned] 0 [Not mentioned] 0 [Not mentioned] 1 [Menti… 0 [Not… 1
## 11 1 [Mentioned] 0 [Not mentioned] 1 [Mentioned] 0 [Not m… 0 [Not… 11
## 12 1 [Mentioned] 1 [Mentioned] 0 [Not mentioned] 0 [Not m… 0 [Not… 10
## 13 1 [Mentioned] 1 [Mentioned] 0 [Not mentioned] 1 [Menti… 0 [Not… 1
## 14 1 [Mentioned] 1 [Mentioned] 1 [Mentioned] 0 [Not m… 0 [Not… 14
## 15 1 [Mentioned] 1 [Mentioned] 1 [Mentioned] 1 [Menti… 0 [Not… 6#inspect respondents who have alcohol abuse while none of those who are
#close to them have.
fin1 %>%
select(starts_with("Q11_4")) %>%
filter(if_all(Q11_4_2:Q11_4_5, ~.x == 0) & Q11_4_1 == 1) %>%
datatable(caption = "Table: Respondents who have alcohol abuse
while none of those who are close to them have",
class = 'cell-border stripe')Base on the inspection above, I decide to generate two new variables depicting if a respondent is an alcoholic (generally), and a variable with four levels depicting if a respondent and his/her family is alcoholic(the four levels are : a. an alcoholic from an alcoholic family, b. an alcoholic from a non-alcoholic family, c. non-alcoholic from an alcoholic family, and d. non-alcoholic from a non-alcoholic family).
fin1 <- fin1 %>%
mutate(alco = Q11_4_1 %>%
factor() %>%
fct_recode("No" = "0",
"Yes" = "1") %>%
ff_label("alcoholic"),
x_alco_alcofamily = #variables starting with "x" will not enter data
#set for analysis.
case_when(if_all(Q11_4_1:Q11_4_2, ~.x == 1) ~ "Yes",
if_any(Q11_4_1:Q11_4_2, ~is.na(.x)) ~ NA_character_,
TRUE ~ "No") %>%
factor() %>%
ff_label("an alcoholic with alcoholic family"),
x_alco_nonalcofamily =
case_when((Q11_4_1 == 1 & Q11_4_2 == 0) ~ "Yes",
if_any(Q11_4_1:Q11_4_2, ~is.na(.x)) ~ NA_character_,
TRUE ~ "No") %>%
factor() %>%
ff_label("an alcoholic without alcoholic family"),
x_nonalco_alcofamily =
case_when((Q11_4_1 == 0 & Q11_4_2 == 1) ~ "Yes",
if_any(Q11_4_1:Q11_4_2, ~is.na(.x)) ~ NA_character_,
TRUE ~ "No") %>%
factor() %>%
ff_label("a non-alcoholic with alcoholic family"),
x_non_alco_nonalcofamily =
case_when((Q11_4_1 == 0 & Q11_4_2 == 0) ~ "Yes",
if_any(Q11_4_1:Q11_4_2, ~is.na(.x)) ~ NA_character_,
TRUE ~ "No") %>%
factor() %>%
ff_label("a non-alcoholic with a non-alcoholic family")
)
fin1 <- fin1 %>%
mutate(alco_family_state =
case_when((x_non_alco_nonalcofamily == "Yes") ~ "non_alco_nonalcofamily",
(x_nonalco_alcofamily == "Yes") ~ "nonalco_alcofamily",
(x_alco_nonalcofamily == "Yes") ~ "alco_nonalcofamily",
(x_alco_alcofamily == "Yes") ~ "alco_alcofamily",
TRUE ~ NA_character_)
)
fin1 %>%
select(which(colnames(fin1) == "alco"): ncol(.)) %>%
head() %>%
datatable(caption = "Table: head of alcohol-related variables",
class = 'cell-border stripe')1.3.4 generate demographic variables
Items T1 to T13 as well as BV1 and BV2 are demographic variables. They are selected into the new data set here.
#inspect demographic variables in code book.
search %>%
select(starts_with("T")|starts_with("BV")) %>%
datatable(class = 'cell-border stripe')#rename and relabel these variables.
finF <- finF %>% mutate(gender = T1 %>%
ff_label("gender"),
age = T2 %>%
ff_label("age"),
resi_population = T3 %>%
ff_label("residence population"),
resi_region = T4 %>%
ff_label("residence region"),
employer = T5 %>%
ff_label("type of employer"),
work_hour = T6 %>%
ff_label("working hours"),
work_contract = T7 %>%
ff_label("work contract"),
education_basic = T8 %>%
ff_label("basic education"),
education_prof = T9 %>%
ff_label("professional education"),
occupation = T10 %>%
ff_label("occupational group"),
industry = T11 %>%
ff_label("current or latest industry of employment"),
union_if = T12 %>%
ff_label("if he/she is a member of a federation of
trade unions/professional organisations"),
party_vote = T13 %>%
ff_label("the party he/she is going to vote fore"),
social_class = T14 %>%
ff_label("social calss"),
househould_income = BV1 %>%
ff_label("househould gross annual income"),
YOB = BV2 %>%
ff_label("year of birth"))1.3.5 subset newly-generated variables into new dataset for analysis
part1 <- fin1 %>%
select(FSD_ID,
which(colnames(fin1) == "happy_family"):ncol(.),
-starts_with("x")
)
part2 <- finF %>% select(FSD_ID, gender:YOB)
happyfin <- left_join(part1, part2)
happyfin %>% head## # A tibble: 6 × 35
## FSD_ID happy…¹ happy…² happy…³ happy…⁴ happy…⁵ happy…⁶ happy…⁷ happy…⁸ happy…⁹
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 5 4 5 3 1 5 5 2 5
## 2 2 5 5 5 5 3 4 4 3 4
## 3 3 5 5 5 5 2 5 4 4 4
## 4 4 4 4 4 5 3 4 4 4 4
## 5 5 5 5 5 5 2 5 4 4 5
## 6 6 5 4 5 5 2 3 3 4 5
## # … with 25 more variables: happy_time.hobby <dbl>, happy_status <dbl>,
## # happy_influence <dbl>, happy_religion <dbl>, happy_nature <dbl>,
## # feel_happy <fct>, if_feel_happy <fct>, alco <fct>, alco_family_state <chr>,
## # gender <fct>, age <fct>, resi_population <fct>, resi_region <fct>,
## # employer <fct>, work_hour <fct>, work_contract <fct>,
## # education_basic <fct>, education_prof <fct>, occupation <fct>,
## # industry <fct>, union_if <fct>, party_vote <fct>, social_class <fct>, …1.4 handle missing data
Missing values are present across the included variables. They will be treated to enhance the validity of study by the following rules: For the dependent variable in modelling (respondent’s self-perceived happiness), cases with NA will be removed from analysis; For the most interested independent variables (variables about happiness, n = 14) that are plausibly correlated with demographic variables, any cases with more than half missing values (n of NAs ≥ 7) will be removed from analysis; any missing values for the cases kept will be imputed using Multiple Imputation Chain Equation (MICE) with all the other variables in the whole new data set being the predictors (except for indexing number); For alcohol-related variables and demographic variables, missing values will be kept as it is.
library(naniar)
# Get number of missing values per variable (n and %)
miss_var_summary(happyfin)## # A tibble: 35 × 3
## variable n_miss pct_miss
## <chr> <int> <dbl>
## 1 work_hour 211 10.5
## 2 work_contract 211 10.5
## 3 happy_religion 155 7.68
## 4 happy_likejob 120 5.94
## 5 happy_employed 110 5.45
## 6 feel_happy 71 3.52
## 7 if_feel_happy 71 3.52
## 8 happy_influence 68 3.37
## 9 happy_status 63 3.12
## 10 happy_love 52 2.58
## # … with 25 more rows# Get number of missing values per participant (n and %)
miss_case_summary(happyfin)## # A tibble: 2,019 × 3
## case n_miss pct_miss
## <int> <int> <dbl>
## 1 1201 18 51.4
## 2 899 16 45.7
## 3 907 16 45.7
## 4 1036 16 45.7
## 5 1372 16 45.7
## 6 232 14 40
## 7 653 14 40
## 8 1377 14 40
## 9 1689 14 40
## 10 1861 14 40
## # … with 2,009 more rows#happyfin <- happyfin[rowSums(is.na(happyfin[,col_happy]))/14 < 0.5 | rowSums(is.na(fin1joy))/14 == 0,]
#aaa <- fin1joy %>%
# mutate(across(everything(), ~replace(.,rowSums(is.na(.))/14 >= 0.5, NULL)))
#miss_case_summary(fin1joy_nohalfmiss)
#remove cases whose feel_happy is NA
happyfin <- happyfin[!is.na(happyfin$feel_happy),]
summary(happyfin$feel_happy)## Not at all happy Not very happy Fairly happy very happy
## 62 350 1244 292#remove cases whose items about happiness attitude has half or more missing values.
fin1 %>% select (starts_with("happy")) %>% summary## happy_family happy_social happy_love happy_income happy_wealth
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.00 1st Qu.:2.000
## Median :5.000 Median :5.000 Median :5.000 Median :4.00 Median :3.000
## Mean :4.516 Mean :4.357 Mean :4.347 Mean :4.37 Mean :2.808
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.00 3rd Qu.:3.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.00 Max. :5.000
## NA's :27 NA's :18 NA's :52 NA's :18 NA's :41
## happy_health happy_likejob happy_employed happy_learn.expc
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:3.000
## Median :5.000 Median :4.000 Median :4.000 Median :4.000
## Mean :4.625 Mean :4.031 Mean :3.972 Mean :3.857
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## NA's :14 NA's :120 NA's :110 NA's :47
## happy_time.hobby happy_status happy_influence happy_religion
## Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :4.00 Median :2.000 Median :3.000 Median :2.000
## Mean :3.97 Mean :2.541 Mean :3.063 Mean :2.197
## 3rd Qu.:5.00 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:3.000
## Max. :5.00 Max. :5.000 Max. :5.000 Max. :5.000
## NA's :26 NA's :63 NA's :68 NA's :155
## happy_nature
## Min. :1.000
## 1st Qu.:3.000
## Median :4.000
## Mean :3.982
## 3rd Qu.:5.000
## Max. :5.000
## NA's :26col_happy <- fin1 %>% select (starts_with("happy")) %>% colnames()
happyfin <- happyfin[rowSums(is.na(happyfin[,col_happy]))/14 < 0.5 | rowSums(is.na(happyfin[,col_happy]))/14 == 0,] #inspect number of missing values per variable
gg_miss_var(happyfin)
#inspect if the presence of missing values for work-related variables correlates
#with age group, using work_hour as example
work_hour_by_age <- happyfin %>% group_by(age) %>%
summarise(number = n())
work_hour_by_age_missing <- happyfin %>%
filter(is.na(work_hour)) %>%
group_by(age) %>%
summarise(number.missing = n())
left_join(work_hour_by_age_missing, work_hour_by_age, by ="age") %>%
mutate(missing.prop_percent = number.missing/number*100) %>%
datatable(colnames = c("proportion of missing(%)" = "missing.prop_percent",
"number of missing values in the age group" = "number.missing",
"age group" = "age",
"number of participants in the age group" = "number"),
caption = "Table: proportion of missing values
of working hours by age group",
class = 'cell-border stripe') %>%
formatRound(columns = 4, digits = 2)It is interesting to find that almost all variables relevant to work, social status and religion suffers from considerable proportion of NAs. This might be the result of a. privacy-related nature of these questions; b. wording of the question being not compatible with some age groups. For example, for the variable about working hours (with biggest number of NAs), respondent under 25 and over 65 years old gave most NAs (24.2% and 12.8%, respectively), indicating young adults might not be able to answer these work-related questions since they are still in college and have not entered industry, and that aged respondents might have already retired and felt confused if they should answer base on their current life stages. These findings suggest rewording of these questions or designing age-specific questions if this survey would be carried out longitudinally.
gg_miss_upset(happyfin)
Upset graph for missing values of five varialbes with most NAs
gg_miss_fct(happyfin[,c(col_happy, "work_contract", "work_hour")], fct = happy_employed)
Heatmap for missing values of fifteen varialbes with most NAs
The results are compatible with the assumption that there is a substantial number of cases in which some NAs happen to occur across certain variables or certain levels of variables (e.g. the happiness attitude towards being employed was more frequently rated low by those who gave NAs in working hour and/or working contract). Thus, it seems that the data are not missing completely at random. MICE can be a plausible method to impute them.
library(mice)#multiple imputation chain equation
#MICE package requires a logical matrix that defines which data points need
#to be imputed and which not. Firstly, the variables that will be imputed are
#defined. Note that the first column which is indexing number is also included,
#and this is not a problem since there is no missing values in indexing.
where_matrix_imputed <- make.where(happyfin[,1:15])
#Next, the variables that will not be imputed but will be used as predictor for
#imputation are defined here.
where_matrix_nonimputed <- make.where(happyfin[,c(16:ncol(happyfin))],
keyword = "none")
#Combine them to get the final logical matrix
where_matirx <- data.frame(where_matrix_imputed,where_matrix_nonimputed)
#select predictors according to the minimum threshold (0.3) against which the
#absolute correlation in the data is compared.
pred_mat <- quickpred(happyfin, mincor = 0.3)
#execute MICE, with 10 times of imputations, 50 times of iterations, "sample"
#as the imputation method.
happyfin_mice <- mice(happyfin,
m = 10,
maxit = 50,
where = where_matirx,
method="sample",
seed = 6,
predictorMatrix = pred_mat)#summarize the imputation
summary(happyfin_mice)## Class: mids
## Number of multiple imputations: 10
## Imputation methods:
## FSD_ID happy_family happy_social happy_love
## "" "sample" "sample" "sample"
## happy_income happy_wealth happy_health happy_likejob
## "sample" "sample" "" "sample"
## happy_employed happy_learn.expc happy_time.hobby happy_status
## "sample" "sample" "sample" "sample"
## happy_influence happy_religion happy_nature feel_happy
## "sample" "sample" "sample" ""
## if_feel_happy alco alco_family_state gender
## "" "" "" ""
## age resi_population resi_region employer
## "" "" "" ""
## work_hour work_contract education_basic education_prof
## "" "" "" ""
## occupation industry union_if party_vote
## "" "" "" ""
## social_class househould_income YOB
## "" "" ""
## PredictorMatrix:
## FSD_ID happy_family happy_social happy_love happy_income
## FSD_ID 0 0 0 0 0
## happy_family 0 0 1 1 0
## happy_social 0 1 0 1 0
## happy_love 0 1 1 0 0
## happy_income 0 0 0 0 0
## happy_wealth 0 0 0 0 0
## happy_wealth happy_health happy_likejob happy_employed
## FSD_ID 0 0 0 0
## happy_family 0 0 0 0
## happy_social 0 0 0 0
## happy_love 0 0 0 0
## happy_income 0 0 0 1
## happy_wealth 0 0 0 0
## happy_learn.expc happy_time.hobby happy_status happy_influence
## FSD_ID 0 0 0 0
## happy_family 0 0 0 0
## happy_social 0 0 0 0
## happy_love 0 0 0 0
## happy_income 0 0 0 0
## happy_wealth 0 0 1 0
## happy_religion happy_nature feel_happy if_feel_happy alco
## FSD_ID 0 0 0 0 0
## happy_family 0 0 0 0 0
## happy_social 0 0 0 0 0
## happy_love 0 0 0 0 0
## happy_income 0 0 0 0 0
## happy_wealth 0 0 0 0 0
## alco_family_state gender age resi_population resi_region employer
## FSD_ID 0 0 0 0 0 0
## happy_family 0 0 0 0 0 0
## happy_social 0 0 0 0 0 0
## happy_love 0 0 0 0 0 0
## happy_income 0 0 0 0 0 0
## happy_wealth 0 0 0 0 0 0
## work_hour work_contract education_basic education_prof occupation
## FSD_ID 0 0 0 0 0
## happy_family 0 0 0 0 0
## happy_social 0 0 0 0 0
## happy_love 0 0 0 0 0
## happy_income 0 0 0 0 0
## happy_wealth 0 0 0 0 0
## industry union_if party_vote social_class househould_income YOB
## FSD_ID 0 0 0 0 0 0
## happy_family 0 0 0 0 0 0
## happy_social 0 0 0 0 0 0
## happy_love 0 0 0 0 0 0
## happy_income 0 0 0 0 0 0
## happy_wealth 0 0 0 0 0 0#check the imputation method used per variable
happyfin_mice$meth## FSD_ID happy_family happy_social happy_love
## "" "sample" "sample" "sample"
## happy_income happy_wealth happy_health happy_likejob
## "sample" "sample" "" "sample"
## happy_employed happy_learn.expc happy_time.hobby happy_status
## "sample" "sample" "sample" "sample"
## happy_influence happy_religion happy_nature feel_happy
## "sample" "sample" "sample" ""
## if_feel_happy alco alco_family_state gender
## "" "" "" ""
## age resi_population resi_region employer
## "" "" "" ""
## work_hour work_contract education_basic education_prof
## "" "" "" ""
## occupation industry union_if party_vote
## "" "" "" ""
## social_class househould_income YOB
## "" "" ""#pass data set happyfin into another object happyfin_raw in case otherwise usage
happyfin_raw <- happyfin
#replace data set happyfin with the last imputed data set in MICE.
happyfin <- mice::complete(happyfin_mice, 10)
#inspect the state of missing values (variables about happiness attitude should
#have none NA)
missing_glimpse(happyfin) %>%
datatable(class = 'cell-border stripe')Variables about happiness attitude now have none NAs. Imputation is done.
1.5 Summarising section one (variable selection and missing value treatment)
Here the variable selection and missing value treatment conducted above are summarized visually for better recording.The flowchart below shows the variables that were selected from meta data set for the present analysis (red box above), and also shows how the missing values were treated (red box below).
library(DiagrammeR)#install.packages("DiagrammeR"), a package for making flowchart
DiagrammeR::grViz("digraph {
graph [layout = dot, rankdir = RR, nodesep = 0.5, ranksep = 0.8, color = crimson, penwidth =5]
node [shape = box, fontcolor = white, fontsize=50, width = 3, height = 1.5, fillcolor = DimGrey, style = filled]
0 [label = 'Metadata', width = 14]
1 [label = 'Q4', width =7]
2 [label = 'Q7_1 to Q7_14', width = 7]
3 [label = 'Q11_4_1 to Q11_4_6', width = 7]
4 [label = 'T1 to T14, BV1, BV2', width = 7]
5 [label = 'Other Variables \n held out', width = 7]
1.5 [label = 'Self-perceived \n happiness (n=2)', width = 7]
2.5 [label = 'Hhappiness \n attitude (n=14)', width = 7]
3.5[label = 'Alcohol abuse \n (n =2)', width = 7]
4.5[label = 'Demographics \n (n = 16)', width = 7]
6[label = 'New raw data set for analysis \n (variables n = 34, cases n = 2019)', width = 15]
s1[label = 'Gernal Case Screening \n (n = 2019)', width = 15]
s2[label = 'Case Screening base on \n variables of major interest \n (n = 2019)', width = 15]
s3[label = 'Final data set for analysis \n (variables n = 34, cases n = 1938)', width = 22.1]
blanka[label = '', width = 0.01, height = 0.01]
blankb[label = '', width = 0.01, height = 0.01]
ss1[label = 'Remove cases \n with ≥ half (34/2 = 17) of \n the reponses being NA (n = 0)', width = 10]
ss2[label = 'Remove cases \n a. with any NA in self- perceived \n happiness (dependent variable in \n modelling) (n = 71) \n b. with half (14/2= 7) of the \nresponses being NA in happiness \n attitude variables (most-interested \n predictors in modelling) (n = 10)', width = 8]
0 -> {1 2 3 4};
{ rank = same;0 -> 5}
subgraph cluster1 {
1 -> 1.5;
2 -> 2.5;
3 -> 3.5;
4 -> 4.5;
{1.5 2.5 3.5 4.5} -> 6;}
subgraph cluster2 {
6 -> s1;
s1 -> blanka[ dir = none, ranksep = 0.05 ];
{ rank = same; blanka -> ss1 [minlen = 2]};
blanka -> s2 [ranksep = 0.05 ];
s2 -> blankb[ dir = none ];
{ rank = same; blankb -> ss2 [minlen = 2]};
blankb -> s3;}
}")Flowchart about variables used (red box above) and missing value treatment (red box below)
2. factor analysis
There are 14 items about Fin’s attitude of happiness that each captures one aspect (e.g. about family, love, wealth, health). There might be latent constructs underlying them that minimize the shared variances among them. A factor analysis will be carried out to explore these latent constructs. If there is any, factor scores will be generated for each construct, facilitating the subsequent modeling about perceived happiness.
2.1 Select variables for factor analsyis and descriptive statistics
2.2.1 select variables
library(psych)
happyscale <- happyfin[,1:15] 2.2.2 examine the normality
happyscale %>%
pivot_longer(2:15, names_to = "attitudes", values_to = "scores" ) %>%
ggplot(aes(x = scores)) +
geom_histogram(binwidth = 1) +
facet_wrap(~attitudes)
Base on the histogram, it is concluded that most of the variable about happiness attitude are not normally distributed. Hence, the presumption of multi-variate normality is severely violated.
2.2.3 examine potential hierarchy in the data set
library(patchwork)# arrange graphs
#Select potential moderators for happy attitude.
#a. Age group might be the most plausible one, since people's attitude towards
#Happiness might change with the age. Things important for the students might
#become less important for the retired.
#b. Gender might be another moderator.
happyByModerator <- happyfin %>%
select(1:15, gender, age) %>%
pivot_longer(2:15,
names_to = "items",
values_to = "scores") #for easy plotting, convert to long format
#calculate mean and sd per age group & per item
happyByModerator1 <- happyByModerator %>%
group_by(age, items, gender) %>%
summarise(mean = mean(scores), SD = SD(scores))
#save jitter position to make points and lines jitter simultaneously
jitterposition <- position_jitter(width = 0.1, height = 0.1)
#plot the correlation of age group with happiness attitude scores by gender (mean±sd)
p_mean <- happyByModerator1 %>%
filter(!gender == "Other") %>% #Gender "other" has too small a sample size,
#the sample might not be representative
ggplot(aes(x = age, y = mean, group = gender, color = gender)) +
theme_bw()+
geom_line(alpha = 0.5,
position = jitterposition,
size = 1) +
geom_point(position = jitterposition) +
facet_wrap (~items,
ncol = 5) +
geom_errorbar(aes(ymin = mean-SD, ymax = mean+SD),
alpha = 0.8,
size = 0.5,
width = 0.3,
position = jitterposition) +
theme(axis.text.x = element_text(angle = 90,
hjust = 1,
size = 10,
face = "bold"),
legend.position = "bottom",
axis.title.x = element_blank(),
plot.title = element_text(size = 18),
axis.title.y = element_text(size = 12))+
labs(title =
"Picture A:Correlation of age group with happiness attitude scores by gender (mean±sd)",
y = "Mean and standard deviation of happiness attitude scores")
happyByModerator2 <- happyByModerator %>%
group_by(age, items, gender) %>%
summarise(median = median(scores),
low = quantile(scores, 0.25),
high = quantile(scores, 0.75))
#plot correlation of age group with happiness attitude scores
#by gender (median, Q1,Q3)
p_median <- happyByModerator2 %>%
filter(!gender == "Other") %>%
ggplot(aes(x = age, y = median, group = gender, color = gender)) +
theme_bw()+
geom_line(alpha = 0.5,
position = jitterposition,
size = 1) +
geom_point(position = jitterposition) +
facet_wrap (~items,
ncol = 5) +
geom_errorbar(aes(ymin = low, ymax = high),
alpha = 0.8,
size = 0.5,
width = 0.3,
position = jitterposition) +
theme(axis.text.x = element_text(angle = 90,
hjust = 1,
size = 10,
face = "bold"),
legend.position = "bottom",
axis.title.x = element_blank(),
plot.title = element_text(size = 18),
axis.title.y = element_text(size = 12))+
labs(title =
"Picture B:Correlation of age group with happiness attitude scores by gender (median, Q1,Q3) ",
y = "Median and 1st/3rd quantile of happiness attitude scores")
p_mean/p_median
It is observed in pic A that male and female do not differ in most happiness attitude items. This is also true if observing by different age group. However, when plotting with median and quantile as picture B, some difference can be seen in love and income items. Here picture B should be more reliable since the non-normally distributed nature of most items. Picture B shows middle-aged females would assign love with higher importance to happiness than their male counterparts (row 2, column 3), and middle and high aged females would have their happiness be less dependent on income than their male counterparts (row 1, column 4). These findings corresponds to our intuitive understanding in the difference of males and females, and this difference might also contribute to the difference in happiness. As such, I will keep this gender variability in analysis without conducting hierarchical analysis.
It is also observed in pic A and B that respondents in different age group’s difference in attitude of happiness always differ in very modest arange (within 1 score unit) except for item about religion (row 2, column 5), where the youngest and oldest in our sample have a difference in median score as large as 2 units, with a sign of positive trending with aging. These findings might be the result of people tending to turn to religion with aging, or might be the result of the new generations are becoming less interested in religion. No matter which, the difference could be the source of difference in perceived happiness. As such, I will keep this age-group variability in analysis without conducting hierarchical analysis.
2.2 Factorability of the items
the factorability of the items was examined. Several well-recognized criteria for the factorability of a correlation were used.
#correlation to examine the factorability
c_matrix <- cor.plot(happyscale[,-1])
It was observed that all of the 14 items correlated at least 0.3 with at least one other item except for items about religion and nature, suggesting these two items might not load fairly on the latent constructs. However, considering their formative nature to the the attitude of happiness, they will be kept for analysis.
#perform KMO test for factorability
KMO(c_matrix) ## Kaiser-Meyer-Olkin factor adequacy
## Call: KMO(r = c_matrix)
## Overall MSA = 0.75
## MSA for each item =
## happy_family happy_social happy_love happy_income
## 0.72 0.80 0.77 0.82
## happy_wealth happy_health happy_likejob happy_employed
## 0.63 0.84 0.79 0.75
## happy_learn.expc happy_time.hobby happy_status happy_influence
## 0.78 0.80 0.65 0.77
## happy_religion happy_nature
## 0.60 0.72The Kaiser-Meyer-Olkin measure of sampling adequacy was .75, indicating middling adequacy according to Kaiser.
#perform bartlett test for factorability
cortest.bartlett(c_matrix, nrow(happyscale[,-1]))## $chisq
## [1] 5340.529
##
## $p.value
## [1] 0
##
## $df
## [1] 91Bartlett’s test of sphericity was significant (χ2 (91) = 5340.53, p < .0001), suggesting that the null hypothesis that our matrix be equal to an identity matrix was objected, and hence good factorability.
2.3 Estimating factor structure
library(GPArotation)
fa.parallel(happyscale[,-1], fa = "fa", fm = "ml", plot = T) 
## Parallel analysis suggests that the number of factors = 6 and the number of components = NAnfactors(c_matrix, n=6, rotate = "oblimin", fm = "pa", n.obs=14)
##
## Number of factors
## Call: vss(x = x, n = n, rotate = rotate, diagonal = diagonal, fm = fm,
## n.obs = n.obs, plot = FALSE, title = title, use = use, cor = cor)
## VSS complexity 1 achieves a maximimum of Although the vss.max shows 5 factors, it is probably more reasonable to think about 1 factors
## VSS complexity 2 achieves a maximimum of 0.62 with 5 factors
## The Velicer MAP achieves a minimum of 0.02 with 1 factors
## Empirical BIC achieves a minimum of -178.79 with 1 factors
## Sample Size adjusted BIC achieves a minimum of 9.09 with 6 factors
##
## Statistics by number of factors
## vss1 vss2 map dof chisq prob sqresid fit RMSEA BIC SABIC complex eChisq
## 1 0.51 0.00 0.023 77 8.43 1 11.0 0.51 0 -195 39.7 1.0 24.41
## 2 0.49 0.58 0.026 64 4.41 1 9.4 0.58 0 -164 30.4 1.3 11.89
## 3 0.48 0.58 0.033 52 2.55 1 8.8 0.60 0 -135 23.6 1.5 7.32
## 4 0.50 0.60 0.038 41 1.03 1 8.6 0.62 0 -107 17.7 1.4 3.04
## 5 0.51 0.62 0.049 31 0.41 1 7.9 0.65 0 -81 13.0 1.4 1.06
## 6 0.48 0.58 0.064 22 0.17 1 7.9 0.64 0 -58 9.1 1.6 0.48
## SRMR eCRMS eBIC
## 1 0.098 0.106 -179
## 2 0.068 0.081 -157
## 3 0.054 0.071 -130
## 4 0.035 0.051 -105
## 5 0.020 0.035 -81
## 6 0.014 0.028 -58The parallel analysis and scree plot (showing 6 factors above eigenvalues of simulated data ) based on correlation matrix suggested 6-factor structure. Meanwhile the VSS is favorable to a five-dimensional interpretation. All other statistics suggest a single dimension. As such, factor structures with 2 to 6 factors will be examined, with specific preference over 5 factor structure.
2.4 Presetting parameters
I will load the variables on 5 and 6 factors based on the result of above analyses. Both varimax and oblimin rotations will be adopted because of the fact that dimension of attitude of happiness is a under-studied area and no presumption could be easily reached. I assumed that there was some latent construct called “attitude of happiness” that is influencing how people answer these questions, and hence principle axis factoring (PAF) was adopted instead of principle component analysis (PCA; on other hand, PCA is orthogonal by nature). Since the assumption of multivariate normality is severely violated, I also did not adopt maximum likelihood factoring.
2.4.1 Five-factor structure
2.4.1.1 Orthogonal rotation
fa5 <- fa(happyscale[,-1], nfactors = 5, rotate = "varimax", fm = "pa", scores = "regression")
fa5## Factor Analysis using method = pa
## Call: fa(r = happyscale[, -1], nfactors = 5, rotate = "varimax", scores = "regression",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA3 PA2 PA1 PA4 PA5 h2 u2 com
## happy_family 0.74 0.02 -0.04 0.16 0.16 0.61 0.39 1.2
## happy_social 0.62 0.03 0.23 0.15 0.00 0.46 0.54 1.4
## happy_love 0.68 0.03 0.13 0.11 0.09 0.50 0.50 1.2
## happy_income 0.18 0.03 0.12 0.46 0.02 0.26 0.74 1.5
## happy_wealth 0.04 0.46 0.07 0.23 -0.06 0.28 0.72 1.6
## happy_health 0.18 0.04 0.14 0.38 0.15 0.22 0.78 2.1
## happy_likejob 0.13 0.15 0.36 0.52 -0.01 0.44 0.56 2.1
## happy_employed 0.03 0.13 0.05 0.69 0.09 0.50 0.50 1.1
## happy_learn.expc 0.08 0.06 0.68 0.19 0.08 0.52 0.48 1.2
## happy_time.hobby 0.14 0.04 0.51 0.15 0.08 0.31 0.69 1.4
## happy_status 0.02 1.02 0.24 0.03 0.16 1.12 -0.12 1.2
## happy_influence 0.05 0.26 0.45 0.06 0.10 0.28 0.72 1.8
## happy_religion 0.08 0.10 0.01 0.04 0.34 0.14 0.86 1.3
## happy_nature 0.06 -0.15 0.27 0.12 0.73 0.64 0.36 1.5
##
## PA3 PA2 PA1 PA4 PA5
## SS loadings 1.53 1.40 1.30 1.29 0.76
## Proportion Var 0.11 0.10 0.09 0.09 0.05
## Cumulative Var 0.11 0.21 0.30 0.39 0.45
## Proportion Explained 0.24 0.22 0.21 0.21 0.12
## Cumulative Proportion 0.24 0.47 0.67 0.88 1.00
##
## Mean item complexity = 1.5
## Test of the hypothesis that 5 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 2.76 with Chi Square of 5340.53
## The degrees of freedom for the model are 31 and the objective function was 0.1
##
## The root mean square of the residuals (RMSR) is 0.02
## The df corrected root mean square of the residuals is 0.04
##
## The harmonic number of observations is 1938 with the empirical chi square 147.34 with prob < 4.5e-17
## The total number of observations was 1938 with Likelihood Chi Square = 190.11 with prob < 8.8e-25
##
## Tucker Lewis Index of factoring reliability = 0.911
## RMSEA index = 0.051 and the 90 % confidence intervals are 0.045 0.059
## BIC = -44.55
## Fit based upon off diagonal values = 0.99fa.diagram(fa5, cut = 0, digits =2, main = "Factor Analysis, Oblimin rotation")
print(fa5$loadings,cutoff = 0.3, sort=TRUE)##
## Loadings:
## PA3 PA2 PA1 PA4 PA5
## happy_family 0.743
## happy_social 0.619
## happy_love 0.682
## happy_status 1.015
## happy_learn.expc 0.681
## happy_time.hobby 0.512
## happy_likejob 0.359 0.523
## happy_employed 0.685
## happy_nature 0.726
## happy_income 0.463
## happy_wealth 0.463
## happy_health 0.380
## happy_influence 0.448
## happy_religion 0.342
##
## PA3 PA2 PA1 PA4 PA5
## SS loadings 1.526 1.399 1.302 1.295 0.759
## Proportion Var 0.109 0.100 0.093 0.092 0.054
## Cumulative Var 0.109 0.209 0.302 0.394 0.449No overloading is detected in Five-factor Structure via orthogonal rotation. Loadings are fairly high on most items, except for religion (loading = 0.35). This is not out of expectation since it was reported that religion has very sophisticated relation with happiness and there are a multitude of types of religions, the attitude towards happiness of which might differ tremendously.
2.4.1.2 Oblique rotation
fa5_obl <- fa(happyscale[,-1], nfactors = 5, rotate = "oblimin", fm = "pa", scores = "regression")
fa5_obl## Factor Analysis using method = pa
## Call: fa(r = happyscale[, -1], nfactors = 5, rotate = "oblimin", scores = "regression",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA1 PA2 PA4 PA3 PA5 h2 u2 com
## happy_family 0.78 0.01 0.04 -0.14 0.06 0.61 0.39 1.1
## happy_social 0.62 -0.01 0.00 0.20 -0.07 0.46 0.54 1.2
## happy_love 0.70 0.01 -0.04 0.07 0.00 0.50 0.50 1.0
## happy_income 0.14 -0.07 0.44 0.08 -0.02 0.26 0.74 1.3
## happy_wealth 0.02 0.41 0.24 -0.02 -0.15 0.28 0.72 2.0
## happy_health 0.13 -0.01 0.34 0.06 0.12 0.22 0.78 1.6
## happy_likejob 0.06 0.04 0.47 0.31 -0.05 0.44 0.56 1.8
## happy_employed -0.04 0.02 0.72 -0.05 0.05 0.50 0.50 1.0
## happy_learn.expc 0.00 0.03 0.05 0.66 0.09 0.52 0.48 1.0
## happy_time.hobby 0.08 0.02 0.02 0.49 0.08 0.31 0.69 1.1
## happy_status 0.00 1.06 -0.01 0.01 0.00 1.12 -0.12 1.0
## happy_influence 0.00 0.26 -0.03 0.38 0.08 0.28 0.72 1.9
## happy_religion 0.08 0.18 0.01 -0.14 0.32 0.14 0.86 2.1
## happy_nature 0.01 -0.01 0.02 0.05 0.78 0.64 0.36 1.0
##
## PA1 PA2 PA4 PA3 PA5
## SS loadings 1.61 1.44 1.23 1.17 0.82
## Proportion Var 0.12 0.10 0.09 0.08 0.06
## Cumulative Var 0.12 0.22 0.31 0.39 0.45
## Proportion Explained 0.26 0.23 0.20 0.19 0.13
## Cumulative Proportion 0.26 0.49 0.68 0.87 1.00
##
## With factor correlations of
## PA1 PA2 PA4 PA3 PA5
## PA1 1.00 0.09 0.30 0.25 0.22
## PA2 0.09 1.00 0.25 0.29 0.03
## PA4 0.30 0.25 1.00 0.34 0.18
## PA3 0.25 0.29 0.34 1.00 0.28
## PA5 0.22 0.03 0.18 0.28 1.00
##
## Mean item complexity = 1.4
## Test of the hypothesis that 5 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 2.76 with Chi Square of 5340.53
## The degrees of freedom for the model are 31 and the objective function was 0.1
##
## The root mean square of the residuals (RMSR) is 0.02
## The df corrected root mean square of the residuals is 0.04
##
## The harmonic number of observations is 1938 with the empirical chi square 147.34 with prob < 4.5e-17
## The total number of observations was 1938 with Likelihood Chi Square = 190.11 with prob < 8.8e-25
##
## Tucker Lewis Index of factoring reliability = 0.911
## RMSEA index = 0.051 and the 90 % confidence intervals are 0.045 0.059
## BIC = -44.55
## Fit based upon off diagonal values = 0.99fa.diagram(fa5_obl, cut = 0, digits =2, main = "Factor Analysis, Oblimin rotation")
print(fa5_obl$loadings,cutoff = 0.3, sort=TRUE)##
## Loadings:
## PA1 PA2 PA4 PA3 PA5
## happy_family 0.778
## happy_social 0.621
## happy_love 0.700
## happy_status 1.057
## happy_employed 0.720
## happy_learn.expc 0.664
## happy_nature 0.780
## happy_income 0.438
## happy_wealth 0.406
## happy_health 0.340
## happy_likejob 0.468 0.311
## happy_time.hobby 0.488
## happy_influence 0.383
## happy_religion 0.324
##
## PA1 PA2 PA4 PA3 PA5
## SS loadings 1.536 1.392 1.113 1.022 0.783
## Proportion Var 0.110 0.099 0.079 0.073 0.056
## Cumulative Var 0.110 0.209 0.289 0.362 0.418Correlation coefficients among the factors ranges from 0.09 to 0.34, which are basically low, indicating the appropriateness of orthogonal rotation.
2.4.2 Five-factor structure
2.4.2.1 Orthogonal rotation
fa6 <- fa(happyscale[,-1], nfactors = 6, rotate = "varimax", fm = "pa", scores = "regression")
fa6## Factor Analysis using method = pa
## Call: fa(r = happyscale[, -1], nfactors = 6, rotate = "varimax", scores = "regression",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA3 PA2 PA1 PA6 PA5 PA4 h2 u2 com
## happy_family 0.75 0.02 -0.05 0.16 0.17 0.04 0.61 0.386 1.2
## happy_social 0.62 0.04 0.22 0.14 -0.01 0.07 0.46 0.541 1.4
## happy_love 0.68 0.03 0.12 0.11 0.09 0.04 0.50 0.496 1.2
## happy_income 0.17 0.05 0.12 0.54 -0.02 0.03 0.34 0.663 1.3
## happy_wealth 0.03 0.50 0.05 0.22 -0.07 0.06 0.31 0.690 1.5
## happy_health 0.16 0.06 0.14 0.43 0.13 0.04 0.25 0.750 1.8
## happy_likejob 0.14 0.14 0.28 0.36 0.03 0.69 0.72 0.279 2.1
## happy_employed 0.04 0.15 0.03 0.54 0.10 0.29 0.41 0.586 1.8
## happy_learn.expc 0.10 0.08 0.61 0.11 0.11 0.25 0.47 0.527 1.6
## happy_time.hobby 0.14 0.05 0.60 0.20 0.02 -0.05 0.42 0.575 1.4
## happy_status 0.02 0.97 0.23 0.00 0.16 0.06 1.03 -0.026 1.2
## happy_influence 0.06 0.27 0.43 0.02 0.12 0.12 0.29 0.713 2.1
## happy_religion 0.08 0.10 -0.01 0.01 0.40 0.04 0.18 0.823 1.2
## happy_nature 0.06 -0.14 0.30 0.17 0.64 -0.03 0.55 0.446 1.7
##
## PA3 PA2 PA1 PA6 PA5 PA4
## SS loadings 1.53 1.35 1.24 1.08 0.69 0.66
## Proportion Var 0.11 0.10 0.09 0.08 0.05 0.05
## Cumulative Var 0.11 0.21 0.29 0.37 0.42 0.47
## Proportion Explained 0.23 0.21 0.19 0.17 0.11 0.10
## Cumulative Proportion 0.23 0.44 0.63 0.79 0.90 1.00
##
## Mean item complexity = 1.5
## Test of the hypothesis that 6 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 2.76 with Chi Square of 5340.53
## The degrees of freedom for the model are 22 and the objective function was 0.05
##
## The root mean square of the residuals (RMSR) is 0.01
## The df corrected root mean square of the residuals is 0.03
##
## The harmonic number of observations is 1938 with the empirical chi square 65.85 with prob < 2.9e-06
## The total number of observations was 1938 with Likelihood Chi Square = 95.67 with prob < 3.6e-11
##
## Tucker Lewis Index of factoring reliability = 0.942
## RMSEA index = 0.042 and the 90 % confidence intervals are 0.033 0.05
## BIC = -70.85
## Fit based upon off diagonal values = 1fa.diagram(fa6, cut = 0, digits =2, main = "Factor Analysis, Oblimin rotation")
print(fa6$loadings,cutoff = 0.3, sort=TRUE)##
## Loadings:
## PA3 PA2 PA1 PA6 PA5 PA4
## happy_family 0.746
## happy_social 0.619
## happy_love 0.684
## happy_status 0.971
## happy_learn.expc 0.608
## happy_time.hobby 0.600
## happy_income 0.537
## happy_employed 0.544
## happy_nature 0.300 0.640
## happy_likejob 0.356 0.689
## happy_wealth 0.498
## happy_health 0.426
## happy_influence 0.428
## happy_religion 0.397
##
## PA3 PA2 PA1 PA6 PA5 PA4
## SS loadings 1.531 1.354 1.238 1.083 0.689 0.655
## Proportion Var 0.109 0.097 0.088 0.077 0.049 0.047
## Cumulative Var 0.109 0.206 0.295 0.372 0.421 0.468Some overloading is present (such as influence loads on both PA2 and PA3). “likejob” singly loads on PA1 and also has overloading on PA3. If it were moved to PA3, the structure would become exactly the same with five-factor solutions. Hence, the five-factor structure is preferred over the 6 factor one.
2.4.2.2 Oblique rotation
fa6_obl <- fa(happyscale[,-1], nfactors = 6, rotate = "oblimin", fm = "pa", scores = "regression")
fa6_obl## Factor Analysis using method = pa
## Call: fa(r = happyscale[, -1], nfactors = 6, rotate = "oblimin", scores = "regression",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA3 PA2 PA1 PA4 PA5 PA6 h2 u2 com
## happy_family 0.78 0.00 -0.01 -0.13 0.05 0.03 0.61 0.386 1.1
## happy_social 0.61 -0.01 0.06 0.19 -0.08 0.00 0.46 0.541 1.2
## happy_love 0.70 0.01 0.01 0.06 0.00 -0.03 0.50 0.496 1.0
## happy_income 0.10 -0.03 0.04 0.15 0.00 0.49 0.34 0.663 1.3
## happy_wealth 0.01 0.46 0.03 0.01 -0.15 0.24 0.31 0.690 1.7
## happy_health 0.10 0.02 0.04 0.09 0.15 0.36 0.25 0.750 1.7
## happy_likejob 0.03 0.00 0.84 0.00 -0.02 0.03 0.72 0.279 1.0
## happy_employed -0.04 0.05 0.33 -0.10 0.10 0.42 0.41 0.586 2.2
## happy_learn.expc 0.00 0.06 0.33 0.43 0.14 -0.10 0.47 0.527 2.3
## happy_time.hobby 0.05 0.05 -0.03 0.59 0.08 0.12 0.42 0.575 1.2
## happy_status 0.00 1.02 -0.01 0.00 0.00 -0.02 1.03 -0.026 1.0
## happy_influence 0.00 0.29 0.14 0.28 0.11 -0.10 0.29 0.713 3.0
## happy_religion 0.08 0.17 0.02 -0.20 0.37 -0.06 0.18 0.823 2.2
## happy_nature 0.01 -0.03 -0.02 0.06 0.73 0.03 0.55 0.446 1.0
##
## PA3 PA2 PA1 PA4 PA5 PA6
## SS loadings 1.58 1.42 1.12 0.86 0.82 0.75
## Proportion Var 0.11 0.10 0.08 0.06 0.06 0.05
## Cumulative Var 0.11 0.21 0.29 0.36 0.41 0.47
## Proportion Explained 0.24 0.22 0.17 0.13 0.13 0.11
## Cumulative Proportion 0.24 0.46 0.63 0.76 0.89 1.00
##
## With factor correlations of
## PA3 PA2 PA1 PA4 PA5 PA6
## PA3 1.00 0.10 0.28 0.20 0.25 0.26
## PA2 0.10 1.00 0.31 0.21 0.08 0.12
## PA1 0.28 0.31 1.00 0.35 0.22 0.41
## PA4 0.20 0.21 0.35 1.00 0.28 0.06
## PA5 0.25 0.08 0.22 0.28 1.00 0.12
## PA6 0.26 0.12 0.41 0.06 0.12 1.00
##
## Mean item complexity = 1.6
## Test of the hypothesis that 6 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 2.76 with Chi Square of 5340.53
## The degrees of freedom for the model are 22 and the objective function was 0.05
##
## The root mean square of the residuals (RMSR) is 0.01
## The df corrected root mean square of the residuals is 0.03
##
## The harmonic number of observations is 1938 with the empirical chi square 65.85 with prob < 2.9e-06
## The total number of observations was 1938 with Likelihood Chi Square = 95.67 with prob < 3.6e-11
##
## Tucker Lewis Index of factoring reliability = 0.942
## RMSEA index = 0.042 and the 90 % confidence intervals are 0.033 0.05
## BIC = -70.85
## Fit based upon off diagonal values = 1fa.diagram(fa6_obl, cut = 0, digits =2, main = "Factor Analysis, Oblimin rotation")
print(fa6_obl$loadings,cutoff = 0.3, sort=TRUE)##
## Loadings:
## PA3 PA2 PA1 PA4 PA5 PA6
## happy_family 0.779
## happy_social 0.614
## happy_love 0.699
## happy_status 1.017
## happy_likejob 0.835
## happy_time.hobby 0.587
## happy_nature 0.728
## happy_income 0.494
## happy_wealth 0.458
## happy_health 0.357
## happy_employed 0.335 0.419
## happy_learn.expc 0.334 0.430
## happy_influence
## happy_religion 0.371
##
## PA3 PA2 PA1 PA4 PA5 PA6
## SS loadings 1.507 1.364 0.950 0.743 0.768 0.645
## Proportion Var 0.108 0.097 0.068 0.053 0.055 0.046
## Cumulative Var 0.108 0.205 0.273 0.326 0.381 0.427The overloading is also present and correlations between factors are still not high (0.05 to 0.44, more than a half below 0.2), indicating the inappropriateness of using oblique rotation.
2.4.3 determine the factor structure
The five-factor structure with orthogonal rotation is the most preferred factor solution for fin’s attitude of happiness. PA1 corresponds to autonomy of life; PA2 corresponds to accomplishment; PA3 corresponds to positive relationships; PA4 corresponds to productivity (health is the premise for productivity); PA5 corresponds to mindfulness.
2.5 generate and examine factor scores
2.5.1 generate factor scores
#generating factor scores
happyScores <- as.data.frame(
factor.scores(happyscale[,-1], fa5)$scores) %>%
mutate(FSD_ID = happyscale$FSD_ID) %>%
rename(autonomy = PA1,
accomplishment = PA2,
relationship = PA3,
productivity= PA4,
mindfulness = PA5)
happyScores <- round(happyScores, 2)
#merge the happyScores data set with happyfin
happyfin <- full_join(happyfin, happyScores)
#inspect
happyfin %>% select(relationship : ncol(happyfin)) %>% head## relationship accomplishment autonomy productivity mindfulness
## 1 0.59 -0.94 1.23 -1.71 1.18
## 2 1.03 0.38 0.06 -0.89 0.23
## 3 0.83 -0.64 0.31 0.20 0.63
## 4 -0.74 1.40 0.30 -0.27 0.45
## 5 0.68 1.17 1.29 -0.45 1.07
## 6 0.49 0.41 0.87 -1.05 -0.052.5.2 examine and modify factor scores
2.5.2.1 examine distributions
happyScores %>%
pivot_longer(relationship:mindfulness,
names_to = "factors",
values_to = "scores") %>%
ggplot(aes(x = scores, fill = factors)) +
geom_histogram() +
facet_wrap(~factors) +
theme(legend.position = "none",
plot.title = element_text(size =20))+
labs(title = "Distribution of variables about happiness attitude")
From the histograms, it is observed that accomplishment and autonomy is basically noramlly distributed, while mindfulness, productivity and relationship are negatively skewed to different degrees.
2.5.2.2 modify distributions
In logistic regression, no presumption of multivariate normality is required for independent variables, and hence these factor scores will enter model without any conversion. However, in doing descriptive statistics, variables with different distribution features need to be described via different indicators. It is better to align the factor scores’ distribution before observing them. Here I will use the following formulas to achieve rough normality for all factor scores.
When the negative skewness is moderate \[ \sqrt{\max\left(x+1\right)-x} \]
When the negative skewness is greater \[ \log_{10}{\max\left(x+1\right)-x} \]
When the negative skewness is severe \[ 1/({\max\left(x+1\right)-x}) \]
- transform productivity
#transform productivity
happyfin$productivity_trans <- sqrt(max(happyfin$productivity+1) - happyfin$productivity)
#check the effect of transformation
before1 <-happyfin %>% #hisogram before
ggplot(aes(x = productivity))+
geom_histogram(fill ="lightblue", color = "black") +
labs(title ="Before tansformation", x = "Productivity before transformation")
after1<- happyfin %>% #histogram after
ggplot(aes(x = productivity_trans))+
geom_histogram(fill ="coral", color = "black") +
labs(title ="After tansformation", x = "Productivity after transformation")
before1.5 <- happyfin %>% #qq plot beofre
ggplot(aes(sample = productivity))+
geom_qq(color = "red", shape = 1) +
geom_qq_line(color = "blue")
after1.5 <- happyfin %>% #qq plot after
ggplot(aes(sample = productivity_trans))+
geom_qq(color = "red", shape = 1) +
geom_qq_line(color = "blue")
before1/before1.5|after1/after1.5
- transform relationship
#transform relationship
happyfin$relationship_trans <- 1/(max(happyfin$relationship+1) - happyfin$relationship)
#check the effect of transformation
before2 <-happyfin %>% #histogram before
ggplot(aes(x = relationship))+
geom_histogram(fill ="lightblue", color = "black") +
labs(title ="Before tansformation", x = "Relationship before transformation")
after2<- happyfin %>% #histogram after
ggplot(aes(x = relationship_trans))+
geom_histogram(fill ="coral", color = "black") +
labs(title ="After tansformation", x = "Relationship after transformation")
before2.5 <- happyfin %>% #qq plot before
ggplot(aes(sample = relationship))+
geom_qq(color = "red", shape = 1) +
geom_qq_line(color = "blue")
after2.5 <- happyfin %>% #qq plot after
ggplot(aes(sample = relationship_trans))+
geom_qq(color = "red", shape = 1) +
geom_qq_line(color = "blue")
before2/before2.5|after2/after2.5
- transform mindfulness
#transform mindfulness
happyfin$mindfulness_trans <- sqrt(max(happyfin$mindfulness+1) - happyfin$mindfulness)
#check the effect of transformation
before3 <-happyfin %>% #histogram before
ggplot(aes(x = mindfulness))+
geom_histogram(fill ="lightblue", color = "black") +
labs(title ="Before mindfulness", x = "Productivity before mindfulness")
after3<- happyfin %>% #histogram after
ggplot(aes(x = mindfulness_trans))+
geom_histogram(fill ="coral", color = "black") +
labs(title ="After mindfulness", x = "Productivity after mindfulness")
before3.5 <- happyfin %>% #qq plot before
ggplot(aes(sample = mindfulness))+
geom_qq(color = "red", shape = 1) +
geom_qq_line(color = "blue")
after3.5 <- happyfin %>% #qq plot after
ggplot(aes(sample = mindfulness_trans))+
geom_qq(color = "red", shape = 1) +
geom_qq_line(color = "blue")
before3/before3.5|after3/after3.5
Now I get the transformed factor scores (productivity_trans, relationship_trans, mindfulness_trans), which are roughly normally distributed. They will be used for relevant descriptive statistics.
2.5.2.3 examine the correlation between happiness-related factor scores and levels of perceived happiness by happiness attitudes
This is examined to find out if self-perceived happiness is correlated with any happiness attitude.
happyfin %>% filter(!gender == "Other") %>%
select(c(accomplishment, autonomy, mindfulness_trans, productivity_trans, relationship_trans), feel_happy, if_feel_happy, gender) %>%
pivot_longer(accomplishment:relationship_trans,
names_to = "factors",
values_to = "scores") %>%
ggplot(aes(x= as.integer(feel_happy), y = scores)) +
stat_summary(fun.data = "mean_sdl",
fun.args = list(mult=1),
geom = "ribbon",
fill = "#EB5286",
alpha = .3) +
stat_summary(fun.data = "mean_sdl",
fun.args = list(mult=1),
geom = "pointrange") +
facet_wrap(~ factors) +
theme(axis.text.x = element_text(size = 10),
axis.title.x = element_text(size = 15),
plot.title = element_text(size=20))+
labs(x = "Levels of perceived happiness \n from 1 to 4: not at all happy, not very happy, fairly happy and very happy",
caption = "Note: The error bars cover mean +/- 1sd",
title = "Correlation between happiness-related factor scores and levels of perceived happiness by happiness attitudes")
It can be observed that the emphasis on attitudes productivity, relationship or mindfulness leads to no notable change in perceived happiness. Increased emphasis on autonomy might lead to increased perceived happiness. The emphasis on accomplishment seems to have a non-linear effect on perceived happiness. Those who are extremely unhappy tending to highlight accomplishment, while those who are moderately unhappy will not give too much emphasis on it.
2.5.2.4 generate new variables about happiness attitude emphasis
Based on the findings above, we might draw to a preliminary conclusion that the emphasis on some of the aspects of happiness (autonomy and/or accomplishment) attitude would contribute to the change of perceived happiness. As such, I will generate two new variables that depict if an individual’s type of happiness attitude emphasis include autonomy and accomplishment, respectively (base on if the score is over 0). Note that raw factor scores will be used here rather than the ones transformed for normality.
happyfin <- happyfin %>%
mutate(if_autonomy =
#generate a variable about if autonomy is emphasized.
case_when(autonomy>0~ "1",
TRUE ~ "0"),
if_accomplishment =
#generate a variable about if accomplishment is emphasized.
case_when(accomplishment>0~ "1",
TRUE ~ "0" )
)
#stacked bar plot of two new variables by perceived happiness
p_autonomy <- happyfin %>%
ggplot(aes(x = if_autonomy, fill = feel_happy)) +
geom_bar (position = "fill") +
theme(legend.position = "none")+
labs(x = "Emphasis on autonomy",
y = "Number of respondents") +
scale_x_discrete(labels=c("0" = "No", "1" = "Yes"))
p_accomplishment <- happyfin %>%
ggplot(aes(x = if_accomplishment, fill = feel_happy)) +
geom_bar (position = "fill")+
labs(fill = "how happy you are",
x = "Emphasis on accomplishment",
y = "")+
scale_x_discrete(labels=c("0" = "No", "1" = "Yes"))
p_autonomy+p_accomplishment
It is interesting to find that if autonomy is emphasized is positively related to being “very happy”, and is almost not related to being fairly happy (is it the caveat for being real happy? ^_^); while if accomplishment is emphasized only slightly increased the proportion of being “very happy”, but it is greatly related to increased proportion of being “fairly happy”.
One is not forbidden to have a multitude aspects of happiness to emphasize. Hence, the number of an individual’s emphasized aspects of happiness attitude might also contribute to perceived happiness. Here I will generate another variable recording the number of these aspect for each case.
emph_number <- happyfin %>%
select(1, relationship:mindfulness) %>%
pivot_longer(relationship:mindfulness,
names_to = "factors",
values_to = "scores")%>%
group_by(FSD_ID)%>%
filter(scores > 0) %>%
group_by(FSD_ID) %>%
summarise(n = n())
happyfin <- left_join(happyfin, emph_number) #join the data sets
happyfin <- happyfin %>% rename("attitude_emph_num" = "n") #rename it
#check the new variable's relation with perceived happiness
happyfin %>%
ggplot(aes(x = attitude_emph_num, fill = feel_happy)) +
geom_bar (position = "fill")+
labs(fill = "How happy are you",
x = "Number of emphasized aspects of happiness attitude",
title = "Correlation between number of emphasized happiness attitudes and perceived happiness",
y = "Number of respondents")+
theme(plot.title = element_text (size = 12))
It is observed that level of perceived happiness is positively correlated with the number of emphasized happiness attitude aspects. This makes sense. People who have more source of happiness will be more likely to have some of these sources fulfilled.
3. Modeling fin’s perceieved happiness
3.1 Descriptive statistics about Fin’s happiness
3.1.1 Proportion of Fins’ perceived happiness
piedata_happy <- happyfin %>%
group_by(feel_happy) %>%
summarise(n = n())
labels_happy <- get_labels(happyfin$feel_happy)
pie(piedata_happy$n, labels_happy)
More than 3/4 Fins are happy. No surprise.
3.1.2 Proportion of fins who are happy by gender
#plot it
happyfin %>%
ggplot(aes(x = gender, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 25),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by gender",
fill = "How happy are you",
y = "Number of respondents") 
##Category "Other"'s proportion looks very different from others, check if
#the group has a representative sample size.
happyfin %>% filter(gender == "Other") %>% nrow()## [1] 21Gender does not show any effect on Fin’s perceived happiness. However, since it is an important demographic feature and might interact with other predictors. Variable “gender” will still enter preliminary model to test its effect on outcome. Due to the small sample of gender category “Other” (n = 21), analysis might be biased. I will not include it in the following descriptives and modeling.
#generate a variable with same values but different name for ease of modeling
happyfin <- happyfin %>%
mutate(gender_enter = gender)3.1.3 Fin’s perceived happiness by age
3.1.3.1 by age group
# plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = age, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 25),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by age& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
Young adults under 25 years old and senior citizens over 56 years old tend to be happier than adults between 26 and 55. Although this effect is more pronounced for males, it is also present in females, indicating age group is appropriate to enter our model after transforming into 3 categories.
3.1.3.2 by age
# convert Year of Birth to age (as of 2020)
happyfin <- happyfin %>%
mutate(years_old = 2002-YOB)
#plot it
happyfin %>% filter(!gender == "Other")%>%
ggplot(aes(x = feel_happy, y = years_old))+
geom_dotplot(binaxis = "y",
stackdir = "center",
dotsize = 0.1,
position = position_jitter(0.01),
width = 0.5,
method = "histodot") +
stat_summary(fun.data = "mean_cl_normal",
geom = "errorbar",
width = 0.1,
color = "red") +
facet_wrap(~gender) +
labs(y = "Age",
x = "",
title = "Fin's perceived happiness by age",
caption = "Note: Error bars are 95% CIs")+
theme(axis.text.x = element_text(angle = 15))
Fairly happy and Not very happy respondents seem to have significantly different age for males, but not for females and not across other perceived-happiness groups. Some non-linear relationship might be present. Age groups could work better than age as number. As such, age group (variable “age”) rather than raw age will be used as predictor.
#transform age group into a variable with 3 categories that will enter model
happyfin <- happyfin %>%
mutate(age_enter =
case_when(age == "26 - 35 years" ~ "26~55 years",
age == "36 - 45 years" ~ "26~55 years",
age == "46 - 55 years" ~ "26~55 years",
age == "56 - 65 years" ~ "Over 55 years",
age == "Over 65 years" ~ "Over 55 years") %>%
factor()) 3.1.4 Fin’s perceived happiness and attitude of happiness
See 2.5.2.3 , the conclusion is number of emphasized attitude of happiness and if autonomy or accomplishment is emphasized will enter the model.
#generate variables with same values but different names for ease of modeling
happyfin <- happyfin %>%
mutate(if_autonomy_enter = if_autonomy %>% factor(),
if_accomplishment_enter = if_accomplishment %>% factor(),
attitude_emph_num_enter = attitude_emph_num,
relationship_enter = relationship ,
productivity_enter = productivity,
autonomy_enter = autonomy,
accomplishment_enter = accomplishment,
mindfulness_enter = mindfulness)3.1.5 Fin’s perceived happiness and alcohol use
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = alco_family_state, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 25),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by alcohol-use& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
A non-alcoholic from a non-alcoholic family is positively related to being very and fairly happy. An alcoholic from an alcoholic family has higher odds being unhappy. These effects are consistent across different gender. __Variable “alco_family_state” will enter the model.
#generate a variable with same values but different name for ease of modeling
happyfin <- happyfin %>%
mutate(alco_family_state_enter = alco_family_state %>% factor())3.1.6 Fin’s perceived happiness and residence polulation
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = resi_population, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by residence-population& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
Male living in residential area with under 4,000 inhabitants tend to have bigger odds to be unhappy, while females living in 4,000~8000 population area tend to have more odds to be unhappy. for other subcategories of population, differences are present but very small. Hence, variable “resi_population” will enter the model after being re-categorized.
#transform "resi_population" into a variable with 2 categories that will enter model
happyfin <- happyfin %>%
mutate(resi_population_enter =
case_when(resi_population == "Under 4,000 inhabitants" | resi_population == "4,000 - 8,000 inhabitants" ~ "Less than 8,000 inhabitants",
TRUE ~ "Over 8,000 inhabitants") %>% factor())3.1.7 Fin’s perceived happiness and employer types
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = employer, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by employer-type& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
People who are not in paid work tend to have bigger odds to be unhappy irrespective of gender. Other type of employers seems not to have notable effect on perceived happiness. Note that although male respondents who are working in voluntary or civi associations also show bigger oddes being unhappy, this category has relatively less representative sample size and this observation could be the result of sampling errors. As such, it is considered a meaningful effect. Hence, variable “employer” will enter the model after being re-categorized.
#transform "employer" into 2 categories that will enter model
happyfin <- happyfin %>%
mutate(employer_enter =
case_when(employer == "Not in paid work" ~ "Not in paid work",
TRUE ~ "Paid work") %>% as.factor())3.1.8 Fin’s perceived happiness and working type (full/parttime work)
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = work_hour, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(y = "Counts",
title= "Counts of perceived happiness by residential population type of work& sex") +
facet_wrap(~gender)
All types of work seems not to have notable effect on perceived happiness, except for half-time. Half-time male worker reported a bigger odds of being unhappy, while, interestingly, half-time female works reported a bigger odds of being happy. Considering this category is extremely under-representative (n = 29), I do not see it as a meaningful effect. As such, type of work will not enter the model for perceived happiness.
3.1.9 Fin’s perceived happiness and education
3.1.9.1 basic education
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = education_basic, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 20),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by basic-education& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
People who had upper secondary education tend to have more odds of being happy across gender. Hence, variable “education_basic” will enter the model after being re-categorized.
#transform "education_basic" into a variable with 2 categories that will enter model
happyfin <- happyfin %>%
mutate(education_basic_enter =
case_when(education_basic == "Upper secondary education (matriculation examination)" ~ "Upper secondary education",
TRUE ~ "primary or lower secondary education") %>% as.factor())3.1.9.2 vocational education
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = education_prof, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1,
angle = 40,
size = 6),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by vocational-education& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
People who had no vacation education tend to have more odds of being unhappy across gender. Hence, variable “education_prof” will enter the model after being re-categorized.
#transform "education_prof" into a variable with 2 categories that will enter model
happyfin <- happyfin %>%
mutate(education_prof_enter =
case_when(education_prof == "No vocational education" ~ "No vocational education",
TRUE ~ "Any type of vocational education") %>%
as.factor())3.1.10 Fin’s perceived happiness and occupation
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = occupation, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by occupation& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
#evaluate the sample size of each category
happyfin %>% count(occupation)## occupation n
## 1 Higher managerial employee 26
## 2 Lower managerial/professional employee 248
## 3 Intermediate level employee (clerical, technical, admin.) 233
## 4 Worker 518
## 5 Entrepreneur, self-employed, own-account worker 88
## 6 Farmer, agricultural entrepreneur 24
## 7 Student 234
## 8 Pensioner/retired 448
## 9 Housewife/house husband, homemaker 8
## 10 Unemployed 82
## 11 Other 29Considering half of the categories under this variable only have under-representative sample size and for those categories with large enough samples, the proportion of perceived happiness looks consistent across them. this variable will not enter the model.
3.1.11 Fin’s perceived happiness and industry
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = industry, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by industry& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
3.1.13 Fin’s perceived happiness and union participation
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = union_if, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by union-participation& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
Fin’s percevied happiness seems to be consistent across people who join union or not, irrespective of the gender. Therefore, this variable will not enter the model.
3.1.13 Fin’s perceived happiness and political stand
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = party_vote, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1,
angle = 90,
size = 7),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by political-stand& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
#evaluate the sample size of each category
happyfin %>% count(party_vote)## party_vote n
## 1 Social Democratic Party of Finland (SDP) 324
## 2 Finns Party (PS) 326
## 3 National Coalition Party (KOK) 216
## 4 Centre Party of Finland (KESK) 159
## 5 Green League (VIHR) 195
## 6 Left Alliance (VAS) 159
## 7 Swedish People's Party in Finland (RKP) 36
## 8 Christian Democrats (KD) 35
## 9 Movement Now (Liike Nyt) 30
## 10 Some other party or group 26
## 11 Would not vote 67
## 12 Can't say 316
## 13 Don't want to say 49Considering half of the categories under this variable only have under-representative sample size and for those categories with large enough samples, the proportion of perceived happiness looks consistent across them. this variable will not enter the model.
3.1.14 Fin’s perceived happiness and social class
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = social_class, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by sociial-class& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
#evaluate the sample size of each category
happyfin %>% count(social_class)## social_class n
## 1 Working class 446
## 2 Lower middle class 262
## 3 Middle class 651
## 4 Upper middle class 233
## 5 Upper class 8
## 6 Do not belong to any class 338Fin’s perceived happiness seem to have a linear relationship with the change of social class. The only problem is this trend does not work well in Upper Class respondents. This is possibly due to the extremely small sample size of this category. Considering this, I will combine it with upper middle class. Those who chose the category “Do not belong to any class” might also have some special features influencing perceived happiness, and therefore this category will be kept.
#transform "social_class" into 2 categories that will enter model
happyfin <- happyfin %>%
mutate(social_class_enter = as.character(social_class))
happyfin <- happyfin %>%
mutate(across(social_class_enter,
~replace(.,.=="Upper middle class"|. == "Upper class",
"Upper middle or upper class"))) %>%
mutate(social_class_enter = as.factor(social_class_enter))
happyfin %>% count(social_class_enter)## social_class_enter n
## 1 Do not belong to any class 338
## 2 Lower middle class 262
## 3 Middle class 651
## 4 Upper middle or upper class 241
## 5 Working class 4463.1.15 Fin’s perceived happiness and household income
#plot it
happyfin %>% filter(!gender == "Other") %>%
ggplot(aes(x = househould_income, fill = feel_happy)) +
geom_bar(position ="fill")+
theme(legend.position = "bottom",
axis.text.x = element_text(hjust = 1, angle = 40),
axis.title.x = element_blank()) +
labs(title= "Number of respondents' perceived happiness by household-income& gender",
fill = "How happy are you",
y = "Number of respondents") +
facet_wrap(~gender)
Fin’s perceived happiness seem to have a linear relationship with the increase of household income. Category “Don’t want to say” will be transformed to NA before this variable enters model.
#generate a variable with same values but different name for ease of modeling (Don't want to say →NA )
happyfin <- happyfin %>%
mutate(househould_income_enter = househould_income) %>%
mutate(across(househould_income_enter, ~replace(.,. == "Don't want to say", NA)))3.2 Modeling Fin’s binary perceieved happiness
3.2.1 check variables that will enter model
# variables that will enter model
happyfin %>% select(ends_with("enter"))## gender_enter age_enter if_autonomy_enter if_accomplishment_enter
## 1 Male 26~55 years 1 0
## 2 Male 26~55 years 1 1
## 3 Male Over 55 years 1 0
## 4 Male 26~55 years 1 1
## 5 Male 26~55 years 1 1
## 6 Male 26~55 years 1 1
## 7 Male Over 55 years 0 1
## 8 Male Over 55 years 0 0
## 9 Female Over 55 years 0 1
## 10 Female Over 55 years 0 0
## 11 Male Over 55 years 0 1
## 12 Male Over 55 years 0 0
## 13 Male Over 55 years 0 0
## 14 Female 26~55 years 1 1
## 15 Female 26~55 years 1 1
## 16 Male 26~55 years 1 1
## 17 Male Over 55 years 0 1
## 18 Male 26~55 years 0 0
## 19 Male Over 55 years 0 1
## 20 Female 26~55 years 0 0
## 21 Female 26~55 years 0 0
## 22 Male 26~55 years 1 0
## 23 Female Over 55 years 0 0
## 24 Female 26~55 years 1 0
## 25 Male Over 55 years 1 1
## 26 Female 26~55 years 0 1
## 27 Male 26~55 years 1 1
## 28 Female 26~55 years 0 1
## 29 Male 26~55 years 1 1
## 30 Male 26~55 years 1 0
## 31 Male 26~55 years 1 0
## 32 Male 26~55 years 1 0
## 33 Male 26~55 years 0 0
## 34 Male 26~55 years 1 0
## 35 Male Over 55 years 0 0
## 36 Male Over 55 years 0 1
## 37 Male 26~55 years 0 1
## 38 Male Over 55 years 1 1
## 39 Male Over 55 years 1 0
## 40 Male Over 55 years 0 0
## 41 Male Over 55 years 1 0
## 42 Male Over 55 years 0 0
## 43 Male 26~55 years 0 1
## 44 Female 26~55 years 1 0
## 45 Female 26~55 years 0 0
## 46 Female Over 55 years 0 0
## 47 Male 26~55 years 0 1
## 48 Female 26~55 years 0 0
## 49 Male Over 55 years 1 1
## 50 Female Over 55 years 1 0
## 51 Male Over 55 years 1 1
## 52 Female 26~55 years 0 1
## 53 Female 26~55 years 1 1
## 54 Male Over 55 years 1 1
## 55 Male 26~55 years 0 0
## 56 Female 26~55 years 0 0
## 57 Male Over 55 years 1 0
## 58 Female 26~55 years 1 0
## 59 Female 26~55 years 1 1
## 60 Male 26~55 years 1 1
## 61 Female 26~55 years 0 0
## 62 Female 26~55 years 0 0
## 63 Male Over 55 years 1 0
## 64 Male 26~55 years 1 1
## 65 Male Over 55 years 0 0
## 66 Male 26~55 years 0 1
## 67 Female Over 55 years 1 0
## 68 Female Over 55 years 1 0
## 69 Female 26~55 years 0 0
## 70 Female 26~55 years 0 0
## 71 Male 26~55 years 1 1
## 72 Male 26~55 years 0 1
## 73 Female 26~55 years 1 1
## 74 Male 26~55 years 0 1
## 75 Female 26~55 years 1 0
## 76 Female Over 55 years 1 0
## 77 Male Over 55 years 1 1
## 78 Female 26~55 years 0 0
## 79 Female Over 55 years 1 1
## 80 Male Over 55 years 0 0
## 81 Female 26~55 years 1 0
## 82 Male 26~55 years 0 1
## 83 Female 26~55 years 1 0
## 84 Female 26~55 years 1 0
## 85 Male Over 55 years 1 0
## 86 Female 26~55 years 0 1
## 87 Female 26~55 years 0 1
## 88 Female Over 55 years 0 1
## 89 Female 26~55 years 1 0
## 90 Female Over 55 years 1 1
## 91 Female 26~55 years 1 0
## 92 Male 26~55 years 1 1
## 93 Female Over 55 years 1 1
## 94 Male Over 55 years 1 1
## 95 Female 26~55 years 0 1
## 96 Male Over 55 years 1 1
## 97 Male 26~55 years 1 0
## 98 Male 26~55 years 1 0
## 99 Male 26~55 years 0 1
## 100 Female 26~55 years 1 1
## 101 Female 26~55 years 1 0
## 102 Male 26~55 years 1 1
## 103 Male Over 55 years 0 1
## 104 Male 26~55 years 0 1
## 105 Female 26~55 years 0 0
## 106 Female 26~55 years 1 0
## 107 Male Over 55 years 0 0
## 108 Female Over 55 years 0 0
## 109 Male Over 55 years 0 0
## 110 Male Over 55 years 1 1
## 111 Male Over 55 years 0 0
## 112 Female Over 55 years 1 0
## 113 Female 26~55 years 1 1
## 114 Female 26~55 years 1 0
## 115 Male 26~55 years 1 1
## 116 Male 26~55 years 1 0
## 117 Male 26~55 years 0 1
## 118 Female 26~55 years 0 1
## 119 Female Over 55 years 0 0
## 120 Female 26~55 years 0 0
## 121 Male 26~55 years 1 0
## 122 Male Over 55 years 1 1
## 123 Male 26~55 years 0 1
## 124 Female Over 55 years 0 1
## 125 Female 26~55 years 0 1
## 126 Female Over 55 years 1 0
## 127 Female 26~55 years 0 0
## 128 Male 26~55 years 0 1
## 129 Male Over 55 years 1 1
## 130 Male 26~55 years 0 0
## 131 Male 26~55 years 0 0
## 132 Female Over 55 years 0 0
## 133 Male Over 55 years 1 1
## 134 Male Over 55 years 0 1
## 135 Female Over 55 years 0 0
## 136 Male 26~55 years 1 1
## 137 Male 26~55 years 0 0
## 138 Female 26~55 years 0 0
## 139 Female Over 55 years 0 0
## 140 Male 26~55 years 0 1
## 141 Male Over 55 years 1 0
## 142 Male 26~55 years 1 0
## 143 Female 26~55 years 0 0
## 144 Female Over 55 years 0 1
## 145 Male Over 55 years 1 0
## 146 Male 26~55 years 0 1
## 147 Male Over 55 years 1 0
## 148 Male Over 55 years 0 0
## 149 Female Over 55 years 1 0
## 150 Male 26~55 years 0 0
## 151 Female 26~55 years 1 1
## 152 Male 26~55 years 1 0
## 153 Male Over 55 years 0 1
## 154 Female 26~55 years 0 1
## 155 Male 26~55 years 1 0
## 156 Male 26~55 years 0 0
## 157 Female 26~55 years 0 1
## 158 Female Over 55 years 0 1
## 159 Female 26~55 years 1 0
## 160 Male 26~55 years 1 0
## 161 Male Over 55 years 0 0
## 162 Female 26~55 years 0 0
## 163 Male 26~55 years 1 1
## 164 Female 26~55 years 0 0
## 165 Male 26~55 years 0 1
## 166 Female Over 55 years 1 0
## 167 Female 26~55 years 1 1
## 168 Female Over 55 years 1 0
## 169 Male Over 55 years 1 1
## 170 Male 26~55 years 1 0
## 171 Female 26~55 years 1 1
## 172 Female 26~55 years 1 1
## 173 Female Over 55 years 0 0
## 174 Female Over 55 years 1 0
## 175 Male Over 55 years 1 1
## 176 Female 26~55 years 0 0
## 177 Male 26~55 years 1 0
## 178 Male 26~55 years 0 0
## 179 Male Over 55 years 0 0
## 180 Male Over 55 years 1 1
## 181 Female 26~55 years 1 0
## 182 Female Over 55 years 1 1
## 183 Male Over 55 years 1 0
## 184 Male Over 55 years 0 0
## 185 Female Over 55 years 1 0
## 186 Male Over 55 years 1 1
## 187 Male Over 55 years 0 0
## 188 Female 26~55 years 1 0
## 189 Male Over 55 years 1 1
## 190 Female Over 55 years 1 1
## 191 Female 26~55 years 1 1
## 192 Male 26~55 years 0 0
## 193 Male Over 55 years 0 0
## 194 Male Over 55 years 0 0
## 195 Female 26~55 years 0 0
## 196 Male 26~55 years 0 0
## 197 Female Over 55 years 1 0
## 198 Female 26~55 years 1 0
## 199 Female 26~55 years 0 0
## 200 Female 26~55 years 1 0
## 201 Female Over 55 years 0 0
## 202 Female 26~55 years 1 0
## 203 Female 26~55 years 0 0
## 204 Female 26~55 years 1 1
## 205 Female Over 55 years 0 0
## 206 Female Over 55 years 0 1
## 207 Female 26~55 years 1 1
## 208 Male 26~55 years 1 0
## 209 Female 26~55 years 0 1
## 210 Male 26~55 years 1 1
## 211 Male Over 55 years 1 1
## 212 Female 26~55 years 0 0
## 213 Male Over 55 years 0 1
## 214 Male Over 55 years 0 0
## 215 Female Over 55 years 0 0
## 216 Male Over 55 years 0 1
## 217 Female Over 55 years 0 1
## 218 Female 26~55 years 1 1
## 219 Male Over 55 years 1 0
## 220 Female Over 55 years 0 0
## 221 Male 26~55 years 1 0
## 222 Male 26~55 years 0 1
## 223 Male 26~55 years 0 0
## 224 Male Over 55 years 0 1
## 225 Male 26~55 years 1 1
## 226 Female 26~55 years 1 0
## 227 Male Over 55 years 0 0
## 228 Female Over 55 years 1 1
## 229 Female Over 55 years 1 1
## 230 Female Over 55 years 1 1
## 231 Female Over 55 years 1 0
## 232 Female 26~55 years 0 1
## 233 Male 26~55 years 0 0
## 234 Female Over 55 years 1 0
## 235 Male 26~55 years 1 1
## 236 Male 26~55 years 0 0
## 237 Male Over 55 years 1 1
## 238 Female 26~55 years 1 1
## 239 Male Over 55 years 0 0
## 240 Male 26~55 years 1 0
## 241 Female Over 55 years 0 0
## 242 Male 26~55 years 0 0
## 243 Male 26~55 years 0 0
## 244 Male Over 55 years 0 1
## 245 Male 26~55 years 0 0
## 246 Male 26~55 years 1 1
## 247 Male 26~55 years 0 0
## 248 Male Over 55 years 0 0
## 249 Female 26~55 years 0 1
## 250 Female Over 55 years 0 1
## 251 Female Over 55 years 0 1
## 252 Female Over 55 years 0 0
## 253 Female Over 55 years 0 0
## 254 Female Over 55 years 0 0
## 255 Male Over 55 years 0 1
## 256 Male 26~55 years 0 0
## 257 Male 26~55 years 1 1
## 258 Female 26~55 years 0 1
## 259 Female Over 55 years 1 0
## 260 Female Over 55 years 0 1
## 261 Male Over 55 years 1 1
## 262 Male Over 55 years 0 1
## 263 Female Over 55 years 0 0
## 264 Male Over 55 years 0 0
## 265 Female Over 55 years 1 0
## 266 Female 26~55 years 0 0
## 267 Female 26~55 years 1 1
## 268 Male Over 55 years 0 0
## 269 Male Over 55 years 0 0
## 270 Male Over 55 years 1 0
## 271 Male 26~55 years 0 1
## 272 Female Over 55 years 1 1
## 273 Female Over 55 years 1 1
## 274 Female 26~55 years 1 1
## 275 Male Over 55 years 1 1
## 276 Female 26~55 years 1 1
## 277 Male Over 55 years 0 0
## 278 Female 26~55 years 0 0
## 279 Male Over 55 years 0 0
## 280 Male Over 55 years 0 0
## 281 Male 26~55 years 0 0
## 282 Female Over 55 years 1 0
## 283 Male Over 55 years 0 1
## 284 Male Over 55 years 1 0
## 285 Female Over 55 years 0 0
## 286 Female 26~55 years 1 1
## 287 Male Over 55 years 0 0
## 288 Female Over 55 years 0 0
## 289 Female Over 55 years 1 1
## 290 Female 26~55 years 0 0
## 291 Female 26~55 years 1 0
## 292 Female Over 55 years 0 0
## 293 Male Over 55 years 0 1
## 294 Male 26~55 years 0 0
## 295 Female Over 55 years 0 0
## 296 Male Over 55 years 0 0
## 297 Male 26~55 years 0 1
## 298 Female Over 55 years 0 0
## 299 Female Over 55 years 1 0
## 300 Female Over 55 years 1 1
## 301 Female Over 55 years 1 1
## 302 Female Over 55 years 1 1
## 303 Female Over 55 years 1 1
## 304 Male Over 55 years 1 0
## 305 Male Over 55 years 0 0
## 306 Male 26~55 years 1 0
## 307 Female 26~55 years 0 1
## 308 Female 26~55 years 1 1
## 309 Male 26~55 years 0 0
## 310 Male Over 55 years 1 0
## 311 Male Over 55 years 1 1
## 312 Male 26~55 years 1 1
## 313 Male Over 55 years 1 1
## 314 Female 26~55 years 1 0
## 315 Female Over 55 years 1 1
## 316 Male Over 55 years 1 0
## 317 Male Over 55 years 1 0
## 318 Female 26~55 years 0 0
## 319 Female 26~55 years 1 1
## 320 Male 26~55 years 1 0
## 321 Male Over 55 years 0 1
## 322 Male Over 55 years 1 1
## 323 Male 26~55 years 0 0
## 324 Female 26~55 years 0 0
## 325 Male 26~55 years 0 1
## 326 Male 26~55 years 0 0
## 327 Male Over 55 years 1 1
## 328 Male Over 55 years 1 0
## 329 Female Over 55 years 0 0
## 330 Female 26~55 years 0 0
## 331 Male Over 55 years 1 0
## 332 Female 26~55 years 1 0
## 333 Male 26~55 years 1 1
## 334 Male Over 55 years 0 0
## 335 Female 26~55 years 0 0
## 336 Other 26~55 years 1 0
## 337 Male Over 55 years 1 0
## 338 Male 26~55 years 1 0
## 339 Male Over 55 years 0 0
## 340 Female 26~55 years 1 1
## 341 Female 26~55 years 1 1
## 342 Female 26~55 years 0 1
## 343 Female Over 55 years 0 0
## 344 Male 26~55 years 0 0
## 345 Male 26~55 years 0 1
## 346 Female Over 55 years 1 0
## 347 Female Over 55 years 1 0
## 348 Male 26~55 years 1 0
## 349 Female 26~55 years 1 0
## 350 Male Over 55 years 1 0
## 351 Male Over 55 years 1 1
## 352 Female Over 55 years 1 0
## 353 Female 26~55 years 1 1
## 354 Female Over 55 years 1 0
## 355 Male 26~55 years 0 0
## 356 Male Over 55 years 0 0
## 357 Male 26~55 years 0 1
## 358 Female 26~55 years 1 1
## 359 Female Over 55 years 1 0
## 360 Male 26~55 years 1 0
## 361 Female Over 55 years 0 1
## 362 Female 26~55 years 0 0
## 363 Male Over 55 years 1 1
## 364 Male Over 55 years 1 1
## 365 Male Over 55 years 0 0
## 366 Female 26~55 years 0 1
## 367 Male Over 55 years 0 1
## 368 Male Over 55 years 0 1
## 369 Male 26~55 years 1 1
## 370 Male 26~55 years 1 1
## 371 Female Over 55 years 1 0
## 372 Male Over 55 years 0 1
## 373 Female Over 55 years 0 0
## 374 Female 26~55 years 1 1
## 375 Female Over 55 years 1 0
## 376 Male Over 55 years 0 0
## 377 Female 26~55 years 1 0
## 378 Female 26~55 years 1 0
## 379 Male Over 55 years 1 1
## 380 Male 26~55 years 1 1
## 381 Male 26~55 years 1 1
## 382 Male 26~55 years 0 0
## 383 Male Over 55 years 0 0
## 384 Male Over 55 years 1 0
## 385 Female Over 55 years 1 1
## 386 Female Over 55 years 0 0
## 387 Female Over 55 years 1 1
## 388 Female Over 55 years 1 0
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## 1832 Male <NA> 1 0
## 1833 Female 26~55 years 1 1
## 1834 Female 26~55 years 0 1
## 1835 Female <NA> 1 1
## 1836 Male Over 55 years 1 1
## 1837 Male 26~55 years 0 0
## 1838 Female 26~55 years 1 1
## 1839 Female <NA> 1 0
## 1840 Female <NA> 1 0
## 1841 Female <NA> 1 1
## 1842 Female 26~55 years 1 0
## 1843 Female <NA> 0 0
## 1844 Male 26~55 years 1 1
## 1845 Male 26~55 years 1 0
## 1846 Male <NA> 1 0
## 1847 Female <NA> 1 1
## 1848 Female 26~55 years 0 0
## 1849 Male 26~55 years 0 0
## 1850 Female 26~55 years 0 0
## 1851 Female <NA> 1 0
## 1852 Female 26~55 years 0 0
## 1853 Female <NA> 1 0
## 1854 Other Over 55 years 0 1
## 1855 Female 26~55 years 1 1
## 1856 Female <NA> 0 1
## 1857 Male <NA> 1 1
## 1858 Male <NA> 1 1
## 1859 Female <NA> 1 0
## 1860 Male <NA> 0 1
## 1861 Male 26~55 years 1 1
## 1862 Male 26~55 years 1 0
## 1863 Male 26~55 years 0 0
## 1864 Male 26~55 years 1 0
## 1865 Female <NA> 0 0
## 1866 Female 26~55 years 1 0
## 1867 Female <NA> 1 1
## 1868 Male <NA> 1 0
## 1869 Male 26~55 years 1 0
## 1870 Female <NA> 0 1
## 1871 Male <NA> 1 1
## 1872 Female 26~55 years 0 1
## 1873 Female <NA> 1 0
## 1874 Female <NA> 1 1
## 1875 Female 26~55 years 0 0
## 1876 Female <NA> 1 1
## 1877 Female <NA> 0 1
## 1878 Female <NA> 0 1
## 1879 Male Over 55 years 0 1
## 1880 Male 26~55 years 0 1
## 1881 Male 26~55 years 0 0
## 1882 Male Over 55 years 1 1
## 1883 Male 26~55 years 0 0
## 1884 Female <NA> 1 1
## 1885 Male <NA> 0 0
## 1886 Female 26~55 years 0 1
## 1887 Male 26~55 years 0 1
## 1888 Female <NA> 0 0
## 1889 Female 26~55 years 1 0
## 1890 Male <NA> 0 0
## 1891 Female <NA> 1 1
## 1892 Male <NA> 1 0
## 1893 Female 26~55 years 0 0
## 1894 Male <NA> 0 0
## 1895 Female 26~55 years 0 1
## 1896 Female 26~55 years 1 1
## 1897 Female <NA> 0 0
## 1898 Male <NA> 0 1
## 1899 Male <NA> 1 0
## 1900 Female 26~55 years 1 1
## 1901 Female 26~55 years 0 1
## 1902 Female <NA> 1 1
## 1903 Female 26~55 years 1 0
## 1904 Male Over 55 years 1 1
## 1905 Female 26~55 years 0 1
## 1906 Female <NA> 1 0
## 1907 Male <NA> 0 0
## 1908 Female <NA> 1 0
## 1909 Male 26~55 years 0 1
## 1910 Female <NA> 1 0
## 1911 Female 26~55 years 1 1
## 1912 Male Over 55 years 1 0
## 1913 Male 26~55 years 1 1
## 1914 Male 26~55 years 0 1
## 1915 Male <NA> 1 0
## 1916 Male Over 55 years 0 1
## 1917 Male 26~55 years 0 1
## 1918 Female 26~55 years 0 1
## 1919 Female <NA> 1 1
## 1920 Female Over 55 years 0 1
## 1921 Female <NA> 1 0
## 1922 Female 26~55 years 0 1
## 1923 Female 26~55 years 0 0
## 1924 Male 26~55 years 0 0
## 1925 Male 26~55 years 0 1
## 1926 Male 26~55 years 1 0
## 1927 Male 26~55 years 1 0
## 1928 Male <NA> 0 0
## 1929 Female <NA> 0 1
## 1930 Female <NA> 1 0
## 1931 Male 26~55 years 1 0
## 1932 Female <NA> 0 1
## 1933 Female Over 55 years 0 0
## 1934 Female <NA> 1 0
## 1935 Male 26~55 years 1 0
## 1936 Female <NA> 1 1
## 1937 Female 26~55 years 1 0
## 1938 Female 26~55 years 1 1
## attitude_emph_num_enter relationship_enter productivity_enter
## 1 3 0.59 -1.71
## 2 4 1.03 -0.89
## 3 4 0.83 0.20
## 4 3 -0.74 -0.27
## 5 4 0.68 -0.45
## 6 3 0.49 -1.05
## 7 3 0.35 -0.15
## 8 1 0.45 -0.60
## 9 3 -1.55 1.58
## 10 2 1.05 0.94
## 11 4 0.06 0.48
## 12 3 0.22 1.22
## 13 3 0.72 1.40
## 14 4 0.67 -0.33
## 15 4 0.78 1.23
## 16 3 -0.81 1.11
## 17 4 0.48 0.41
## 18 1 -2.25 -0.68
## 19 3 0.64 1.38
## 20 1 -0.77 -0.42
## 21 1 1.09 -0.28
## 22 3 0.76 -0.15
## 23 2 0.91 -0.03
## 24 2 -0.53 -1.80
## 25 4 0.42 1.41
## 26 3 1.00 -0.80
## 27 5 0.43 0.93
## 28 3 0.11 0.24
## 29 3 -0.70 1.17
## 30 3 0.98 -1.20
## 31 1 -0.15 -1.22
## 32 2 -1.30 -0.02
## 33 1 -0.83 0.10
## 34 2 0.90 -0.26
## 35 1 -1.32 0.29
## 36 4 0.05 0.60
## 37 2 -0.53 0.11
## 38 4 0.71 1.09
## 39 4 0.28 0.08
## 40 2 0.53 0.09
## 41 2 -0.28 0.67
## 42 2 0.40 -0.36
## 43 2 -1.87 0.17
## 44 3 0.87 0.78
## 45 2 0.83 1.58
## 46 2 1.22 1.45
## 47 3 0.51 -0.12
## 48 2 -1.12 1.43
## 49 4 0.39 -0.04
## 50 4 0.17 1.41
## 51 5 0.50 0.70
## 52 2 0.54 -0.21
## 53 4 0.46 -0.65
## 54 3 -1.06 -1.11
## 55 1 -0.70 1.19
## 56 2 0.64 0.76
## 57 3 0.44 -0.93
## 58 2 -0.24 -0.49
## 59 4 0.75 -0.22
## 60 4 0.40 -0.27
## 61 NA -1.14 -0.15
## 62 1 0.16 -0.11
## 63 4 0.65 0.08
## 64 3 -0.76 -0.43
## 65 2 -0.03 0.46
## 66 3 -0.07 0.12
## 67 4 0.81 0.16
## 68 3 -0.41 0.47
## 69 2 1.02 -0.43
## 70 2 0.80 1.37
## 71 4 0.37 -0.13
## 72 2 -0.97 0.01
## 73 5 0.72 0.83
## 74 1 -1.78 -1.67
## 75 3 0.66 1.42
## 76 3 -0.68 0.38
## 77 2 -1.15 -0.67
## 78 1 1.45 -1.28
## 79 3 -0.19 -0.27
## 80 1 0.35 -0.59
## 81 3 0.70 -2.56
## 82 3 -0.97 1.42
## 83 1 -0.05 -0.31
## 84 3 0.96 -0.32
## 85 3 0.57 -1.26
## 86 3 0.88 -0.20
## 87 3 0.64 -0.16
## 88 4 0.30 1.18
## 89 2 -0.30 -1.24
## 90 4 0.33 1.49
## 91 2 -0.59 0.99
## 92 4 0.48 -0.45
## 93 4 0.42 1.18
## 94 4 0.82 0.48
## 95 1 -0.35 -0.90
## 96 4 0.32 -0.44
## 97 3 0.32 -0.41
## 98 3 0.38 1.09
## 99 1 -2.11 -0.11
## 100 5 0.64 0.32
## 101 3 0.70 1.50
## 102 3 -0.22 1.52
## 103 2 -0.61 -0.34
## 104 2 -1.04 0.18
## 105 2 -0.74 0.08
## 106 3 -0.65 0.07
## 107 2 0.54 -0.03
## 108 3 0.58 1.67
## 109 NA -2.66 -1.12
## 110 4 0.32 -0.71
## 111 2 1.01 -0.65
## 112 3 -1.44 1.18
## 113 5 0.56 1.40
## 114 4 0.76 0.24
## 115 3 -0.73 0.05
## 116 3 1.03 -0.56
## 117 3 0.11 1.89
## 118 3 0.18 -0.95
## 119 3 0.38 0.01
## 120 2 0.45 -0.53
## 121 4 0.53 0.87
## 122 2 -0.34 -0.85
## 123 4 0.48 0.03
## 124 4 0.24 1.02
## 125 4 0.02 0.83
## 126 1 -0.53 -0.65
## 127 1 0.12 -0.12
## 128 2 -0.99 -1.07
## 129 3 -2.39 -0.74
## 130 NA -3.74 -0.86
## 131 1 -0.12 0.62
## 132 2 1.08 1.12
## 133 4 -0.34 0.05
## 134 1 -0.29 -0.15
## 135 2 -1.51 0.11
## 136 3 -2.34 -0.09
## 137 1 1.17 -1.52
## 138 1 1.19 -0.62
## 139 2 0.10 -0.05
## 140 2 1.22 -0.51
## 141 1 -0.95 -1.24
## 142 1 -0.70 -0.28
## 143 2 -2.85 1.75
## 144 4 0.51 0.04
## 145 2 -0.70 0.07
## 146 2 -1.42 -1.02
## 147 3 0.68 -0.39
## 148 3 0.25 0.38
## 149 4 0.64 1.23
## 150 2 -2.50 0.92
## 151 4 0.96 0.36
## 152 1 -1.76 -1.67
## 153 1 -1.52 -1.94
## 154 4 0.17 1.34
## 155 3 0.62 1.45
## 156 NA -3.53 -1.10
## 157 3 0.42 -0.24
## 158 3 0.93 -0.54
## 159 4 0.93 0.22
## 160 2 -0.75 0.12
## 161 2 0.60 -3.62
## 162 3 0.56 0.74
## 163 4 0.26 1.14
## 164 NA -0.62 -0.20
## 165 4 0.66 1.08
## 166 4 0.58 1.49
## 167 4 0.35 -0.28
## 168 3 0.45 -0.27
## 169 5 0.50 0.82
## 170 3 0.10 -1.13
## 171 4 0.38 -0.71
## 172 4 1.09 -1.82
## 173 2 0.40 1.24
## 174 3 0.81 -0.29
## 175 4 -1.03 0.23
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## 182 5 0.09 0.76
## 183 2 -4.27 0.36
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## 189 3 0.84 -0.16
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## 205 2 1.05 -0.52
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## 209 2 1.00 -0.17
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## 212 2 -0.29 1.56
## 213 3 0.77 1.10
## 214 3 0.17 1.37
## 215 2 -0.41 0.20
## 216 4 0.60 1.29
## 217 2 0.62 -0.77
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## 219 1 -0.78 -0.72
## 220 3 0.19 1.04
## 221 3 -0.04 0.32
## 222 1 -0.54 -0.15
## 223 1 -1.32 0.33
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## 225 3 -1.31 -0.83
## 226 2 0.73 -0.44
## 227 1 -1.17 -0.50
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## 229 4 -1.97 1.27
## 230 4 0.84 -0.48
## 231 2 -0.71 0.20
## 232 3 0.46 0.45
## 233 1 -3.46 -1.75
## 234 3 -3.76 1.08
## 235 5 0.46 0.96
## 236 2 1.00 0.28
## 237 5 0.47 1.01
## 238 2 -1.82 -0.24
## 239 NA -0.24 -0.59
## 240 1 0.00 -1.47
## 241 2 0.08 0.26
## 242 1 -0.86 -1.12
## 243 2 0.99 0.41
## 244 2 -0.72 0.57
## 245 1 -0.01 -1.01
## 246 3 0.57 -0.17
## 247 1 -0.44 1.69
## 248 2 0.78 0.59
## 249 3 -2.42 0.78
## 250 2 -0.51 -0.15
## 251 3 0.84 -0.43
## 252 2 -0.84 0.22
## 253 3 0.02 0.17
## 254 2 0.03 -0.11
## 255 4 0.73 0.93
## 256 2 0.55 1.36
## 257 4 0.40 -1.43
## 258 3 -0.35 1.47
## 259 3 0.88 -0.15
## 260 3 0.90 1.13
## 261 4 0.78 -0.46
## 262 3 0.04 0.01
## 263 2 -3.40 1.21
## 264 3 0.81 0.23
## 265 4 0.30 0.42
## 266 3 0.39 1.06
## 267 5 0.47 1.05
## 268 2 -0.55 0.62
## 269 NA -0.56 -0.44
## 270 1 -0.56 -1.06
## 271 1 -0.25 -1.49
## 272 5 0.47 0.43
## 273 4 -0.36 1.12
## 274 5 0.45 0.95
## 275 5 0.47 1.01
## 276 5 0.72 0.33
## 277 2 0.31 -0.35
## 278 2 -0.63 0.43
## 279 3 0.80 0.24
## 280 2 0.06 -0.19
## 281 1 -0.60 -0.43
## 282 3 -1.04 2.01
## 283 2 -1.13 -0.81
## 284 3 -0.91 1.16
## 285 2 0.56 -2.84
## 286 4 0.83 0.45
## 287 1 -1.59 -0.02
## 288 NA -0.49 -0.52
## 289 5 0.73 0.66
## 290 1 0.06 -0.12
## 291 2 -1.55 -0.19
## 292 2 0.36 -0.47
## 293 2 -0.43 -0.28
## 294 NA -0.35 -0.89
## 295 1 0.73 -0.43
## 296 NA -0.53 -0.64
## 297 3 0.38 -0.16
## 298 1 1.06 -0.03
## 299 3 0.84 -0.64
## 300 3 -0.76 -0.31
## 301 3 -1.94 -0.22
## 302 4 0.90 -0.05
## 303 4 -2.32 0.69
## 304 2 1.09 -0.71
## 305 1 -0.44 1.55
## 306 2 0.05 -1.08
## 307 3 1.00 0.34
## 308 3 -1.19 1.14
## 309 1 -3.14 0.14
## 310 1 -0.28 -0.01
## 311 5 0.69 0.89
## 312 3 -0.61 0.01
## 313 2 -2.39 -0.26
## 314 1 -0.38 -1.70
## 315 5 0.46 0.96
## 316 3 0.70 1.31
## 317 2 -0.70 0.09
## 318 NA -0.53 -1.47
## 319 4 0.76 1.21
## 320 1 -0.38 -1.60
## 321 2 -0.08 -0.50
## 322 3 -0.72 -0.51
## 323 1 -2.58 0.62
## 324 1 0.79 -0.12
## 325 2 0.09 -0.21
## 326 1 -0.12 -0.35
## 327 5 0.52 1.16
## 328 3 0.73 -0.09
## 329 1 0.02 -0.85
## 330 1 0.75 -0.58
## 331 3 0.71 -0.23
## 332 2 0.06 -0.42
## 333 4 -0.15 0.49
## 334 3 0.64 1.35
## 335 1 0.67 -2.70
## 336 1 -0.15 -0.06
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## 338 1 -0.84 -0.98
## 339 2 0.74 -0.12
## 340 4 0.30 -0.16
## 341 5 0.48 1.04
## 342 3 0.64 0.60
## 343 1 1.16 -0.73
## 344 3 0.70 0.37
## 345 1 -0.37 -1.37
## 346 3 -1.53 2.26
## 347 3 -1.22 0.57
## 348 1 -0.87 -0.95
## 349 3 -1.45 0.53
## 350 2 -2.44 -0.14
## 351 4 0.70 -0.06
## 352 4 0.55 1.15
## 353 4 -1.07 0.68
## 354 3 -0.65 0.43
## 355 2 0.74 -0.57
## 356 1 -0.68 -0.65
## 357 3 -0.02 0.20
## 358 4 0.74 0.37
## 359 3 -1.94 1.71
## 360 2 0.48 -0.48
## 361 3 1.01 0.36
## 362 2 0.83 0.29
## 363 5 0.44 0.94
## 364 4 0.69 0.97
## 365 2 0.58 -0.53
## 366 4 0.46 0.01
## 367 2 -2.16 0.25
## 368 2 1.04 -1.59
## 369 4 0.75 -0.22
## 370 3 -0.44 -0.36
## 371 1 -1.92 -1.61
## 372 3 -0.47 0.44
## 373 1 1.13 -0.63
## 374 3 -0.83 -0.35
## 375 4 0.48 1.27
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## 377 2 -1.32 -0.32
## 378 4 0.70 0.67
## 379 5 0.24 0.56
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## 381 3 -2.40 -0.78
## 382 1 0.32 -2.59
## 383 2 1.15 0.65
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## 385 5 0.54 0.62
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## 387 4 0.92 -0.05
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## 389 2 -1.05 -0.32
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## 391 1 1.07 -1.01
## 392 1 0.24 -0.51
## 393 2 -0.62 -0.03
## 394 4 0.93 -1.46
## 395 4 0.99 0.30
## 396 4 0.64 1.27
## 397 3 0.73 1.40
## 398 3 -0.73 -0.03
## 399 2 0.00 0.41
## 400 3 0.16 0.13
## 401 2 1.14 -1.52
## 402 3 0.06 0.64
## 403 4 0.32 1.29
## 404 5 0.54 1.19
## 405 4 0.80 -0.04
## 406 1 -1.44 -0.46
## 407 2 -0.02 -0.52
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## 411 3 0.64 -1.47
## 412 2 -3.32 -1.54
## 413 2 0.38 -1.53
## 414 3 0.82 0.43
## 415 5 0.46 0.75
## 416 4 0.35 0.24
## 417 2 1.00 2.10
## 418 4 0.40 -0.15
## 419 2 -0.67 -0.59
## 420 1 1.06 -0.25
## 421 4 0.38 -0.64
## 422 1 0.05 -1.00
## 423 4 0.23 1.24
## 424 4 0.69 1.38
## 425 3 1.23 0.16
## 426 2 -0.25 -2.50
## 427 2 -0.34 0.01
## 428 4 0.83 0.09
## 429 2 0.00 -0.29
## 430 3 0.33 0.18
## 431 2 0.44 0.59
## 432 2 -1.33 -0.61
## 433 4 0.67 -0.34
## 434 2 0.12 0.00
## 435 2 1.45 -1.69
## 436 4 0.81 0.33
## 437 3 0.75 -0.70
## 438 4 0.52 1.32
## 439 NA -1.28 -1.39
## 440 2 -0.20 0.03
## 441 2 0.33 1.13
## 442 2 -0.79 -0.73
## 443 5 0.52 1.21
## 444 2 -0.89 1.03
## 445 2 -1.25 -0.29
## 446 5 0.53 1.36
## 447 2 -0.28 1.19
## 448 2 -2.68 0.14
## 449 5 0.28 0.69
## 450 2 -0.39 -0.51
## 451 4 0.78 0.33
## 452 2 -0.76 0.45
## 453 4 0.73 -0.37
## 454 2 -1.11 1.72
## 455 3 0.25 1.25
## 456 2 -0.27 -0.50
## 457 4 0.72 0.31
## 458 2 -2.09 -0.87
## 459 NA -2.33 -0.86
## 460 3 0.26 -0.14
## 461 4 0.65 1.06
## 462 2 0.65 -1.07
## 463 5 0.77 0.28
## 464 4 0.57 1.25
## 465 2 -0.03 0.68
## 466 2 0.33 -2.13
## 467 2 -1.56 0.12
## 468 3 0.56 -0.33
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## 470 2 1.03 -0.51
## 471 3 -1.40 0.47
## 472 2 0.02 -0.45
## 473 4 0.25 1.47
## 474 5 0.05 0.82
## 475 NA -0.70 -0.45
## 476 5 0.14 0.67
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## 478 4 0.48 0.22
## 479 5 0.47 0.72
## 480 1 -0.52 -0.51
## 481 3 0.61 1.56
## 482 3 -0.14 0.76
## 483 3 -1.37 0.38
## 484 4 0.53 1.12
## 485 3 0.91 1.10
## 486 3 0.93 -0.40
## 487 3 0.49 -0.07
## 488 4 0.77 0.60
## 489 NA -1.21 -1.12
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## 491 1 -1.54 -1.08
## 492 3 0.43 0.25
## 493 2 0.65 0.14
## 494 4 0.31 1.45
## 495 5 0.66 0.16
## 496 5 0.43 0.93
## 497 3 0.74 0.71
## 498 5 0.14 0.41
## 499 4 0.89 0.06
## 500 4 0.40 -0.41
## 501 4 0.73 0.06
## 502 1 -1.50 -0.17
## 503 3 -0.74 0.48
## 504 2 0.92 1.18
## 505 3 0.77 -0.27
## 506 4 0.06 0.45
## 507 3 0.09 0.04
## 508 4 0.87 0.52
## 509 4 0.75 1.24
## 510 3 -0.42 0.21
## 511 2 1.07 0.49
## 512 3 0.71 0.75
## 513 1 -0.62 -0.35
## 514 1 -2.44 1.98
## 515 3 -0.03 1.26
## 516 3 0.71 1.17
## 517 NA -1.91 -1.51
## 518 2 -0.01 0.79
## 519 4 0.77 -0.70
## 520 5 0.36 0.30
## 521 4 0.88 0.32
## 522 3 -0.76 -0.44
## 523 2 0.76 -0.82
## 524 5 0.56 0.95
## 525 3 1.03 0.18
## 526 4 -0.08 0.22
## 527 4 0.66 1.22
## 528 1 -0.08 1.59
## 529 3 -0.90 -0.69
## 530 4 0.92 0.03
## 531 2 1.41 -1.71
## 532 2 -2.07 -0.51
## 533 1 -4.35 -1.52
## 534 4 0.11 0.13
## 535 3 -0.44 0.04
## 536 2 -0.11 1.79
## 537 1 -0.08 0.60
## 538 3 0.80 0.91
## 539 4 0.61 1.16
## 540 2 0.91 -0.84
## 541 3 0.82 0.10
## 542 4 0.30 0.69
## 543 4 0.28 0.11
## 544 2 0.61 0.12
## 545 3 0.22 1.15
## 546 3 0.33 1.04
## 547 2 0.67 -1.37
## 548 3 0.91 -3.09
## 549 4 0.73 0.88
## 550 5 0.57 1.39
## 551 2 -0.71 -0.27
## 552 1 -2.46 1.49
## 553 3 -0.78 0.81
## 554 1 -0.46 -1.32
## 555 2 -0.02 -0.08
## 556 3 0.47 1.13
## 557 4 0.15 1.53
## 558 4 0.76 0.07
## 559 NA -0.31 -1.01
## 560 3 -1.79 0.42
## 561 2 0.65 -1.65
## 562 3 -1.96 1.46
## 563 3 0.06 -0.84
## 564 2 0.27 1.72
## 565 3 1.05 -1.92
## 566 3 0.94 -0.46
## 567 5 0.46 0.78
## 568 3 0.03 0.08
## 569 2 0.53 -2.09
## 570 3 0.83 -0.91
## 571 5 0.46 0.96
## 572 2 -1.59 -0.09
## 573 NA -0.78 -0.92
## 574 4 0.56 1.27
## 575 4 0.02 -0.05
## 576 3 0.92 -1.30
## 577 3 0.65 -1.53
## 578 1 -0.16 -0.12
## 579 5 0.49 1.06
## 580 1 -0.49 -2.12
## 581 2 0.28 -0.95
## 582 3 0.57 0.75
## 583 3 1.17 -1.37
## 584 1 -0.99 -0.13
## 585 3 0.00 0.17
## 586 4 0.62 1.06
## 587 2 0.39 0.56
## 588 3 -0.07 0.42
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## 1861 4 0.89 1.39
## 1862 4 0.68 0.09
## 1863 1 1.07 -0.77
## 1864 2 0.55 -1.48
## 1865 1 1.23 -0.53
## 1866 3 0.99 0.34
## 1867 4 0.91 0.42
## 1868 2 1.31 -1.85
## 1869 2 -2.96 -0.49
## 1870 3 1.14 -1.86
## 1871 4 0.55 0.62
## 1872 4 0.03 0.05
## 1873 3 1.21 -0.96
## 1874 4 0.91 1.04
## 1875 3 0.46 0.60
## 1876 3 -0.40 -0.30
## 1877 2 -2.74 0.68
## 1878 4 0.62 1.31
## 1879 1 -0.64 -0.11
## 1880 4 0.71 0.61
## 1881 1 -1.08 -0.30
## 1882 4 -0.85 1.30
## 1883 1 0.95 -0.61
## 1884 3 0.09 -0.28
## 1885 NA -1.40 -0.16
## 1886 3 0.03 0.24
## 1887 3 1.02 0.03
## 1888 2 0.68 -0.90
## 1889 3 0.82 0.66
## 1890 2 1.23 -3.30
## 1891 4 0.42 0.92
## 1892 3 0.74 1.10
## 1893 1 -0.80 -0.05
## 1894 1 -0.16 -0.51
## 1895 3 1.03 0.16
## 1896 4 0.59 0.84
## 1897 NA -0.48 -0.43
## 1898 3 0.80 -0.26
## 1899 3 -1.09 0.53
## 1900 5 0.67 0.38
## 1901 3 0.21 0.18
## 1902 4 0.99 0.07
## 1903 3 0.92 -0.23
## 1904 4 0.64 0.00
## 1905 2 -0.57 0.55
## 1906 3 0.65 1.37
## 1907 2 0.27 0.26
## 1908 2 1.11 -1.02
## 1909 3 0.03 -0.64
## 1910 3 0.93 0.46
## 1911 5 0.51 1.33
## 1912 2 0.70 -0.54
## 1913 4 0.48 0.40
## 1914 3 0.90 -1.33
## 1915 4 0.78 0.15
## 1916 4 0.75 0.68
## 1917 2 -2.11 -1.75
## 1918 4 0.83 0.38
## 1919 4 -1.41 0.40
## 1920 2 -1.18 1.04
## 1921 2 -1.33 0.28
## 1922 1 -0.78 -2.32
## 1923 2 0.48 0.27
## 1924 NA -0.55 -0.43
## 1925 3 0.41 0.66
## 1926 2 1.24 -0.45
## 1927 3 -0.36 0.06
## 1928 1 -0.30 -0.25
## 1929 3 0.40 -0.68
## 1930 3 0.80 0.90
## 1931 2 1.04 -1.15
## 1932 3 1.16 0.11
## 1933 3 0.42 0.74
## 1934 2 1.17 -2.21
## 1935 2 -0.13 1.17
## 1936 2 -0.91 -0.16
## 1937 3 0.67 -0.41
## 1938 3 0.16 0.00
## autonomy_enter accomplishment_enter mindfulness_enter
## 1 1.23 -0.94 1.18
## 2 0.06 0.38 0.23
## 3 0.31 -0.64 0.63
## 4 0.30 1.40 0.45
## 5 1.29 1.17 1.07
## 6 0.87 0.41 -0.05
## 7 -0.13 0.33 1.30
## 8 -0.02 -0.47 -0.27
## 9 -1.46 0.56 1.61
## 10 -0.77 -1.24 -1.37
## 11 -0.48 0.49 0.38
## 12 -0.86 -0.67 1.43
## 13 -1.83 -0.41 0.91
## 14 1.99 0.02 0.46
## 15 0.17 0.60 -1.24
## 16 0.24 0.51 -1.00
## 17 -0.29 0.46 0.21
## 18 -0.42 -1.29 0.05
## 19 -0.20 1.49 -0.08
## 20 -1.20 -0.37 1.38
## 21 -0.05 -0.54 -0.09
## 22 0.68 -0.91 1.01
## 23 -1.34 -0.56 1.56
## 24 1.68 -0.89 0.40
## 25 0.56 1.67 -2.19
## 26 -0.75 0.62 0.20
## 27 1.45 2.03 0.63
## 28 -1.72 1.08 -0.22
## 29 0.03 0.62 -1.06
## 30 0.38 -0.84 1.21
## 31 0.60 -0.33 -2.28
## 32 0.04 -0.72 0.90
## 33 -0.06 -1.28 -1.34
## 34 0.10 -0.62 -0.26
## 35 -1.39 -0.09 -2.03
## 36 -1.40 0.62 0.63
## 37 -1.53 1.00 -0.60
## 38 0.61 2.48 -0.76
## 39 0.94 -0.86 0.44
## 40 -0.95 -0.10 -0.75
## 41 0.02 -0.54 -0.92
## 42 -0.72 -0.59 1.17
## 43 -1.05 0.05 -2.05
## 44 0.19 -0.61 -0.40
## 45 -0.38 -0.30 -1.26
## 46 -2.08 -0.75 -2.41
## 47 -0.56 0.53 0.32
## 48 -1.62 -0.35 1.42
## 49 0.21 1.48 0.24
## 50 0.63 -1.93 0.33
## 51 1.25 1.16 1.02
## 52 -0.09 1.58 -0.50
## 53 0.15 0.43 0.35
## 54 0.14 0.33 1.32
## 55 -0.83 -0.36 -1.02
## 56 -0.74 -0.26 -0.79
## 57 0.07 -0.78 1.15
## 58 0.22 -1.66 0.45
## 59 0.11 0.33 1.00
## 60 0.18 1.40 0.36
## 61 -0.72 -1.41 -0.41
## 62 -0.17 -0.33 -0.59
## 63 0.66 -0.84 0.48
## 64 0.22 1.29 0.52
## 65 -1.20 -0.52 1.54
## 66 -0.60 0.57 1.51
## 67 0.22 -0.88 1.17
## 68 0.73 -0.90 0.43
## 69 -0.82 -0.59 1.43
## 70 -0.03 -1.60 -0.63
## 71 0.03 0.37 1.11
## 72 -1.04 0.94 -0.43
## 73 0.02 0.44 0.01
## 74 -1.44 0.14 -1.56
## 75 1.04 -0.76 -0.75
## 76 0.16 -0.57 0.04
## 77 1.48 0.11 -0.22
## 78 -0.11 -1.25 -1.28
## 79 1.03 0.08 1.18
## 80 -0.95 -0.19 -0.63
## 81 1.76 -0.97 0.72
## 82 -1.23 0.47 0.71
## 83 0.85 -0.68 -0.52
## 84 0.14 -0.64 0.58
## 85 0.40 -0.76 0.96
## 86 -0.21 1.44 0.50
## 87 -2.31 1.04 1.04
## 88 -0.22 0.42 0.29
## 89 2.14 -1.10 0.18
## 90 0.23 0.51 -1.01
## 91 0.16 -1.23 -2.26
## 92 0.04 0.40 0.99
## 93 0.87 1.62 -2.13
## 94 1.01 0.18 0.00
## 95 -0.54 0.69 -0.70
## 96 0.86 1.31 0.27
## 97 0.52 -0.68 0.73
## 98 0.05 -1.57 -0.56
## 99 -2.37 0.43 -2.55
## 100 1.45 1.03 0.63
## 101 0.01 -0.55 -0.50
## 102 0.01 1.44 -0.12
## 103 -0.63 1.60 0.54
## 104 -1.00 0.80 -0.44
## 105 -0.24 -0.59 0.98
## 106 0.21 -1.77 0.42
## 107 -1.36 -0.56 1.27
## 108 -0.09 -0.83 0.61
## 109 -0.68 -0.25 -0.26
## 110 0.27 0.28 0.85
## 111 -0.62 -0.64 1.39
## 112 0.09 -0.66 0.79
## 113 0.02 0.10 1.08
## 114 1.32 -1.09 0.54
## 115 1.28 1.49 -1.03
## 116 0.28 -0.77 0.54
## 117 -1.65 1.03 -1.76
## 118 -0.44 0.56 0.24
## 119 -0.45 -1.78 0.94
## 120 -0.62 -0.52 1.21
## 121 1.20 -0.88 0.35
## 122 1.21 0.22 -0.26
## 123 -0.07 0.63 0.15
## 124 -1.50 0.57 1.69
## 125 -1.21 0.54 0.44
## 126 0.41 -1.67 -0.05
## 127 -1.02 -1.04 -1.95
## 128 -0.53 0.67 0.37
## 129 0.42 0.48 0.12
## 130 -2.39 -0.59 -2.54
## 131 -1.08 -1.49 -0.39
## 132 -0.58 -1.16 -2.47
## 133 0.43 0.19 0.18
## 134 -0.61 1.88 -1.93
## 135 -0.50 -0.34 0.16
## 136 0.57 0.38 0.31
## 137 -0.38 -0.42 -0.01
## 138 -0.03 -0.37 -1.13
## 139 -0.34 -1.57 0.74
## 140 -0.44 0.79 -0.97
## 141 0.30 -0.60 -0.18
## 142 0.30 -0.58 -0.12
## 143 -2.20 -0.04 0.32
## 144 -1.62 0.98 0.44
## 145 0.06 -0.43 -0.14
## 146 -0.36 0.50 0.12
## 147 1.53 -0.88 0.45
## 148 -0.83 -1.56 1.04
## 149 0.33 -0.84 0.50
## 150 -1.35 -1.46 1.02
## 151 0.44 0.47 -1.27
## 152 1.56 -1.84 -0.75
## 153 -0.68 0.72 -0.29
## 154 -0.89 0.52 1.07
## 155 1.30 -0.05 -0.54
## 156 -0.39 -0.19 -0.61
## 157 -0.03 0.66 0.23
## 158 -0.38 0.63 0.27
## 159 0.02 -0.55 0.01
## 160 1.23 -0.83 -0.41
## 161 -1.85 -1.32 0.92
## 162 -1.14 -0.38 0.02
## 163 0.09 0.38 -0.12
## 164 -0.10 -1.63 -0.02
## 165 -0.18 0.54 0.18
## 166 0.02 -0.74 0.58
## 167 1.28 1.30 0.24
## 168 0.47 -0.88 0.38
## 169 0.02 1.40 0.88
## 170 0.77 -0.83 1.11
## 171 1.52 0.06 0.81
## 172 0.71 0.35 0.78
## 173 -0.25 -0.37 -1.24
## 174 0.18 -0.68 1.00
## 175 0.53 1.13 1.14
## 176 -2.01 -0.36 1.73
## 177 0.71 -1.13 0.79
## 178 -0.52 -0.26 -0.87
## 179 -0.55 -0.40 -0.04
## 180 0.58 0.23 0.20
## 181 0.26 -1.81 0.55
## 182 0.40 0.22 1.41
## 183 0.85 -0.67 -0.14
## 184 -1.35 -0.44 1.77
## 185 1.10 -0.05 0.94
## 186 0.57 1.38 0.09
## 187 -0.25 -0.69 -0.02
## 188 1.27 -0.76 -0.55
## 189 0.46 0.48 -0.15
## 190 0.95 0.31 -0.36
## 191 0.63 0.17 1.20
## 192 -0.12 -0.37 0.23
## 193 -0.04 -1.70 -0.13
## 194 -0.93 -0.61 -0.25
## 195 -0.25 -0.68 0.08
## 196 -0.40 -0.52 0.32
## 197 0.14 -0.76 0.79
## 198 2.06 -1.00 0.13
## 199 -0.41 -0.76 1.00
## 200 1.36 -0.16 0.89
## 201 -0.64 -0.02 -2.13
## 202 0.49 -1.98 1.08
## 203 -1.69 -0.31 1.69
## 204 0.65 0.47 -1.01
## 205 -0.83 -0.79 1.34
## 206 -0.17 0.38 1.00
## 207 1.04 1.40 -0.44
## 208 0.36 -0.46 -1.22
## 209 -0.09 0.63 -0.76
## 210 0.20 1.65 -1.16
## 211 0.35 0.53 0.27
## 212 -0.58 -0.57 0.76
## 213 -0.71 1.78 -0.30
## 214 -0.05 -0.62 0.72
## 215 -0.28 -0.68 1.04
## 216 -0.08 0.28 1.18
## 217 -0.05 1.71 -0.41
## 218 0.61 1.63 0.07
## 219 1.20 -0.86 -0.14
## 220 -0.30 -0.75 1.30
## 221 0.38 -0.67 0.11
## 222 -1.08 0.85 -0.68
## 223 -1.88 0.00 -0.26
## 224 -1.42 0.10 -2.09
## 225 0.78 0.24 0.91
## 226 0.48 -0.52 -1.14
## 227 -0.56 -0.39 0.30
## 228 1.27 0.07 0.77
## 229 1.33 0.12 0.73
## 230 0.21 1.45 0.39
## 231 0.20 -0.62 -0.16
## 232 -1.70 1.02 -0.44
## 233 -0.43 -1.74 1.39
## 234 0.30 -0.65 0.78
## 235 1.21 1.91 1.17
## 236 -0.43 -0.36 -0.17
## 237 0.95 2.02 1.22
## 238 0.54 0.59 -1.19
## 239 -0.92 -0.10 -0.80
## 240 0.18 -0.34 -1.03
## 241 -1.97 -0.05 -0.30
## 242 -1.54 -0.14 0.35
## 243 -0.23 -0.53 -0.33
## 244 -0.36 0.53 -0.19
## 245 -0.37 -0.37 0.01
## 246 0.46 1.65 -1.45
## 247 -0.36 -1.52 -0.57
## 248 -0.48 -0.47 -0.08
## 249 -1.66 0.75 1.82
## 250 -1.47 0.67 2.15
## 251 -0.16 0.38 1.50
## 252 -0.14 -0.72 1.02
## 253 -1.90 -0.45 1.86
## 254 -1.32 -0.43 1.81
## 255 -0.78 0.55 0.57
## 256 -2.33 -0.80 -0.78
## 257 1.29 0.06 0.97
## 258 -0.22 0.23 1.30
## 259 1.36 -1.87 0.18
## 260 -1.03 0.77 -0.85
## 261 0.66 0.13 1.22
## 262 -0.17 0.60 -0.78
## 263 -0.75 -1.51 1.16
## 264 -0.05 -0.55 0.73
## 265 0.44 -0.84 0.57
## 266 -0.91 -1.77 1.16
## 267 0.76 2.15 1.13
## 268 -2.78 -1.06 0.15
## 269 -0.35 -0.36 -0.90
## 270 0.60 -0.59 -0.19
## 271 -0.21 1.99 -1.47
## 272 1.36 2.09 1.49
## 273 0.62 1.16 1.43
## 274 1.27 1.94 1.03
## 275 0.95 2.02 1.22
## 276 0.35 0.41 0.76
## 277 -1.44 -1.46 0.21
## 278 -0.45 -0.42 0.05
## 279 -0.39 -0.68 1.33
## 280 -1.07 -0.34 0.30
## 281 -0.65 -0.52 0.23
## 282 0.06 -0.88 0.40
## 283 -0.78 0.50 1.68
## 284 0.22 -1.08 0.86
## 285 -0.79 -0.71 1.54
## 286 0.45 1.42 -0.12
## 287 -0.58 -0.40 0.37
## 288 -1.22 -0.07 -0.59
## 289 0.01 0.47 0.25
## 290 -0.53 -0.15 -2.14
## 291 1.60 -2.14 0.53
## 292 -0.71 -0.45 1.05
## 293 -0.77 0.58 0.69
## 294 -1.45 -0.12 -0.53
## 295 -0.56 -0.24 -1.62
## 296 0.00 -0.42 -0.76
## 297 -0.12 1.48 0.36
## 298 -0.98 -0.17 -0.78
## 299 0.69 -0.85 0.74
## 300 0.29 1.40 0.55
## 301 0.13 0.46 0.13
## 302 0.13 0.38 0.48
## 303 1.19 2.24 0.95
## 304 0.60 -0.76 -0.21
## 305 -4.46 -0.15 -1.89
## 306 0.33 -0.46 -1.13
## 307 -0.06 0.65 -1.18
## 308 0.49 0.54 -0.17
## 309 -1.51 -1.08 -0.86
## 310 0.50 -0.56 -0.46
## 311 0.05 0.48 0.23
## 312 0.66 1.55 -0.81
## 313 1.01 0.45 -1.02
## 314 0.58 -0.52 -0.29
## 315 1.21 1.91 1.17
## 316 0.29 -0.75 -0.53
## 317 0.07 -0.76 -0.06
## 318 -0.10 -1.66 -0.20
## 319 0.88 0.47 -1.31
## 320 0.35 -0.37 -0.73
## 321 -0.06 1.44 1.41
## 322 0.21 0.48 0.27
## 323 -0.62 -0.02 -2.19
## 324 -0.46 -1.37 -1.27
## 325 -0.22 0.74 -0.67
## 326 -1.65 -1.30 0.59
## 327 1.09 0.17 0.45
## 328 0.98 -0.95 0.83
## 329 -0.92 -0.26 0.00
## 330 -1.32 -1.01 -0.69
## 331 0.70 -0.87 0.90
## 332 1.12 -0.66 -0.54
## 333 0.04 0.33 0.47
## 334 -0.01 -0.75 1.04
## 335 -1.75 -0.83 -2.57
## 336 1.04 -0.60 -1.56
## 337 0.64 -0.94 0.93
## 338 0.30 -0.39 -0.98
## 339 -0.90 -0.40 1.34
## 340 1.03 1.10 1.34
## 341 1.27 1.10 0.54
## 342 -1.97 1.20 -1.50
## 343 -0.75 -0.15 -0.68
## 344 -2.46 -1.01 0.46
## 345 -0.74 0.85 -0.68
## 346 0.87 -2.27 0.26
## 347 0.19 -0.90 1.13
## 348 0.31 -1.45 -1.37
## 349 0.93 -0.92 0.64
## 350 0.25 -0.66 1.01
## 351 1.22 1.03 0.93
## 352 1.43 -1.19 0.75
## 353 1.04 1.27 0.89
## 354 1.61 -0.17 0.83
## 355 -0.37 -0.67 0.38
## 356 -0.16 -0.43 0.02
## 357 -0.65 0.55 1.35
## 358 1.02 1.29 -0.21
## 359 1.02 -1.87 0.44
## 360 0.24 -0.61 -0.08
## 361 -0.18 0.59 -0.91
## 362 -0.26 -0.38 -1.00
## 363 1.39 2.00 0.76
## 364 0.73 0.28 -0.30
## 365 -1.12 -0.31 0.24
## 366 -1.19 0.60 0.74
## 367 -0.68 0.84 -0.63
## 368 -2.19 0.12 -0.85
## 369 0.11 0.33 1.00
## 370 1.00 0.12 0.77
## 371 1.52 -0.63 -1.26
## 372 -1.49 0.69 0.91
## 373 -0.57 -1.29 -0.98
## 374 1.11 0.18 1.16
## 375 1.13 -0.04 0.48
## 376 -1.05 -0.41 0.46
## 377 2.02 -2.19 0.23
## 378 1.35 -0.96 0.15
## 379 0.54 0.22 0.63
## 380 0.73 0.11 0.59
## 381 0.55 0.03 1.50
## 382 -1.02 -1.10 -1.00
## 383 -0.37 -0.18 -2.32
## 384 0.48 -1.65 -0.70
## 385 0.33 0.25 1.29
## 386 -0.80 -1.14 -1.17
## 387 0.35 0.45 0.15
## 388 1.51 -0.08 0.92
## 389 0.92 -1.94 0.14
## 390 1.66 -2.20 0.02
## 391 -0.40 -1.43 -0.23
## 392 -0.45 -0.12 -1.93
## 393 -0.63 0.67 0.22
## 394 0.52 0.14 1.36
## 395 0.13 0.51 -1.09
## 396 0.78 -2.07 0.52
## 397 -0.37 -0.47 0.07
## 398 0.81 1.19 0.50
## 399 -1.35 -0.55 1.22
## 400 -1.52 0.99 -0.39
## 401 -0.80 -0.36 0.33
## 402 -0.62 -0.55 0.42
## 403 -1.49 0.93 0.46
## 404 0.84 0.06 0.99
## 405 0.29 0.45 0.87
## 406 -0.63 0.72 -0.42
## 407 -0.23 0.50 0.49
## 408 0.70 0.16 1.02
## 409 0.11 0.32 1.28
## 410 -0.54 -0.12 -2.10
## 411 -0.18 0.52 0.33
## 412 1.02 0.65 -2.99
## 413 2.70 -1.15 -1.16
## 414 -0.28 -0.70 1.03
## 415 0.71 1.05 1.22
## 416 0.95 -2.21 0.46
## 417 -3.40 -0.78 -0.67
## 418 0.27 0.37 0.03
## 419 -0.06 0.50 0.63
## 420 -0.79 -0.21 -0.82
## 421 0.20 0.22 1.51
## 422 -0.02 -0.37 -1.13
## 423 -0.19 1.42 0.42
## 424 0.43 0.23 -0.24
## 425 -0.78 1.15 -2.97
## 426 0.21 0.78 -0.52
## 427 1.61 -1.00 -0.50
## 428 0.73 0.42 -0.27
## 429 -0.32 0.62 0.10
## 430 -0.03 -1.89 0.96
## 431 -0.46 -0.53 -0.19
## 432 1.07 0.60 -1.13
## 433 0.33 0.35 0.79
## 434 -0.30 0.64 -0.56
## 435 -1.57 0.07 -1.58
## 436 0.35 0.27 -0.14
## 437 -0.08 0.26 1.50
## 438 1.05 -0.11 0.83
## 439 -0.62 -0.24 -0.81
## 440 -0.10 -0.49 0.13
## 441 -0.08 -0.59 -0.21
## 442 -0.05 0.23 1.54
## 443 0.49 0.15 1.09
## 444 -0.04 0.56 -0.05
## 445 -0.25 0.40 1.41
## 446 0.85 0.03 0.74
## 447 -0.21 -0.74 1.10
## 448 -0.16 -1.58 0.45
## 449 0.54 0.22 0.26
## 450 2.42 0.32 -1.80
## 451 -0.16 0.20 1.26
## 452 -1.23 0.95 -0.45
## 453 0.65 1.16 0.98
## 454 0.19 -1.53 -0.84
## 455 -0.78 0.54 0.00
## 456 1.66 -1.04 0.67
## 457 1.46 -0.84 0.37
## 458 0.24 0.68 -0.96
## 459 -0.78 -0.05 -0.71
## 460 0.32 1.50 -1.00
## 461 0.11 0.30 -0.09
## 462 -0.51 -0.40 0.36
## 463 0.10 0.10 1.21
## 464 0.92 -0.98 0.85
## 465 -1.45 -0.44 1.34
## 466 -1.05 -1.23 0.35
## 467 -0.20 -0.77 1.34
## 468 0.19 0.85 -2.28
## 469 1.58 -2.08 0.23
## 470 -0.21 -0.79 1.28
## 471 0.08 -0.84 1.26
## 472 -2.13 0.21 -1.21
## 473 -0.34 1.36 0.08
## 474 1.11 1.08 1.32
## 475 -1.84 -0.94 -0.82
## 476 0.04 2.47 0.43
## 477 -0.81 0.37 1.50
## 478 -0.18 0.54 0.18
## 479 0.78 2.46 0.99
## 480 0.54 -0.64 -0.26
## 481 -0.42 -0.72 1.04
## 482 1.26 1.29 -0.35
## 483 -0.54 0.76 0.22
## 484 1.68 -1.08 0.21
## 485 -0.62 0.71 -1.09
## 486 1.17 -0.86 0.33
## 487 -0.30 0.50 0.12
## 488 0.13 -0.80 1.05
## 489 -0.93 -0.20 -0.49
## 490 -0.96 -0.59 1.18
## 491 -0.78 0.93 -0.33
## 492 -0.29 -1.69 0.86
## 493 -1.96 -0.02 -0.05
## 494 -0.72 0.60 0.14
## 495 1.38 1.04 1.01
## 496 1.45 2.03 0.63
## 497 -0.80 -0.63 1.30
## 498 0.81 2.06 1.31
## 499 0.15 -0.71 0.60
## 500 0.55 1.34 0.31
## 501 0.40 0.46 -1.05
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## 1568 -0.31 0.72 -0.78
## 1569 0.17 0.33 0.96
## 1570 1.78 1.48 -2.32
## 1571 -0.55 0.82 -0.35
## 1572 -0.52 -0.60 0.43
## 1573 -1.04 0.91 -0.58
## 1574 -0.08 0.43 0.14
## 1575 0.20 0.32 -0.01
## 1576 0.39 -0.54 -0.07
## 1577 -0.45 0.18 1.19
## 1578 -0.68 -0.38 -0.24
## 1579 -0.55 0.63 0.11
## 1580 2.60 -0.30 0.57
## 1581 -0.49 1.92 -0.57
## 1582 -1.32 0.00 -2.06
## 1583 0.43 0.56 -1.03
## 1584 1.00 1.45 0.18
## 1585 -0.84 -1.44 0.84
## 1586 -1.42 -0.73 -2.28
## 1587 -0.32 0.62 -0.53
## 1588 0.29 -1.66 -0.29
## 1589 0.86 -0.77 -0.69
## 1590 -1.73 1.18 -1.56
## 1591 1.20 -0.98 -0.06
## 1592 -0.02 0.44 -0.52
## 1593 1.26 1.97 1.28
## 1594 -0.22 0.46 -0.02
## 1595 1.32 -0.51 -2.52
## 1596 -1.31 0.92 -0.84
## 1597 0.14 -0.49 -0.26
## 1598 -0.63 0.68 -0.96
## 1599 -0.13 -1.78 0.37
## 1600 -1.66 0.01 -0.64
## 1601 0.83 2.23 1.11
## 1602 0.96 1.44 -0.99
## 1603 -1.45 -0.01 -0.61
## 1604 -0.06 -0.35 -1.15
## 1605 0.75 -0.94 0.74
## 1606 -0.91 -0.70 -3.22
## 1607 -1.38 -0.04 -1.85
## 1608 1.18 0.31 -0.99
## 1609 0.33 0.29 1.39
## 1610 1.11 -0.89 0.32
## 1611 -0.90 0.74 -1.25
## 1612 1.27 -0.63 -1.58
## 1613 0.86 1.35 -0.99
## 1614 1.73 -0.11 0.48
## 1615 -0.73 0.90 -0.33
## 1616 0.66 -0.59 -0.98
## 1617 0.88 -0.92 0.50
## 1618 1.62 1.34 -0.11
## 1619 1.20 0.14 0.61
## 1620 0.73 -1.58 -1.89
## 1621 0.28 0.42 -0.20
## 1622 1.62 0.01 0.39
## 1623 0.82 2.18 1.00
## 1624 2.02 2.19 -1.29
## 1625 -0.57 2.72 2.14
## 1626 0.02 0.44 0.88
## 1627 -0.44 -0.35 -1.04
## 1628 0.19 0.38 0.91
## 1629 0.85 -1.64 -1.83
## 1630 0.11 -0.87 0.79
## 1631 0.24 0.48 -0.03
## 1632 -1.37 1.43 1.56
## 1633 0.31 -0.53 -0.04
## 1634 0.00 -0.20 -2.28
## 1635 -0.38 -1.41 -0.13
## 1636 -0.33 1.75 -0.66
## 1637 1.51 0.06 0.40
## 1638 0.44 1.18 1.14
## 1639 -0.30 -0.29 -2.26
## 1640 -1.86 -0.17 -0.75
## 1641 0.92 0.02 0.37
## 1642 0.61 -1.80 0.38
## 1643 1.15 1.16 0.25
## 1644 1.11 1.45 -1.15
## 1645 0.38 -0.41 -1.32
## 1646 1.70 1.15 -0.45
## 1647 1.45 2.03 0.63
## 1648 1.55 0.44 -1.33
## 1649 0.11 0.61 -1.03
## 1650 -0.01 -0.38 -2.27
## 1651 -0.50 -0.51 -0.01
## 1652 0.77 -1.05 0.79
## 1653 1.20 -1.99 0.32
## 1654 -0.96 0.75 0.85
## 1655 1.07 2.07 0.95
## 1656 1.73 1.12 0.66
## 1657 0.15 -0.50 -0.21
## 1658 1.04 1.34 -0.28
## 1659 0.51 1.52 -1.05
## 1660 -1.16 0.94 -0.70
## 1661 0.86 -0.54 -1.38
## 1662 0.33 -1.26 -2.19
## 1663 1.57 -2.01 0.24
## 1664 0.94 0.22 0.10
## 1665 1.21 0.11 -0.08
## 1666 -0.38 -0.17 -2.12
## 1667 -0.83 -0.19 -0.86
## 1668 0.05 0.62 -1.01
## 1669 -1.91 1.25 -0.42
## 1670 0.45 0.48 -0.05
## 1671 -0.10 0.44 0.32
## 1672 -0.36 0.62 -0.49
## 1673 -0.97 -0.24 -0.10
## 1674 -1.16 -0.33 1.32
## 1675 -0.23 -0.48 -0.23
## 1676 0.87 1.47 -1.18
## 1677 -0.49 2.62 2.26
## 1678 0.56 -0.70 0.72
## 1679 0.88 -0.95 0.82
## 1680 1.45 1.03 0.63
## 1681 -1.23 -0.03 -0.83
## 1682 2.10 -2.14 -0.10
## 1683 -0.97 -0.22 -1.23
## 1684 0.72 1.62 -2.33
## 1685 0.12 -0.60 -0.07
## 1686 -0.32 1.37 1.41
## 1687 2.99 1.88 -0.85
## 1688 0.63 -0.63 -0.36
## 1689 1.45 2.03 0.63
## 1690 0.17 0.39 -0.08
## 1691 1.02 -0.78 0.52
## 1692 1.23 -1.00 0.27
## 1693 -0.83 -0.43 0.08
## 1694 -0.81 0.96 -1.73
## 1695 0.85 0.03 0.74
## 1696 1.37 0.13 0.50
## 1697 1.32 1.16 0.64
## 1698 -1.13 1.80 -0.75
## 1699 1.21 1.91 1.17
## 1700 1.17 0.52 -1.55
## 1701 1.13 0.15 -0.05
## 1702 0.89 -0.81 0.68
## 1703 -1.84 -0.11 0.22
## 1704 0.28 1.32 0.39
## 1705 0.60 -0.61 -1.44
## 1706 -1.34 -0.13 -0.53
## 1707 0.28 1.32 0.39
## 1708 0.91 0.05 0.61
## 1709 -0.21 -0.37 -0.63
## 1710 -1.31 0.36 1.28
## 1711 -0.16 0.58 0.37
## 1712 -0.36 -0.23 -0.77
## 1713 0.63 1.19 1.22
## 1714 0.13 -0.43 -1.01
## 1715 1.01 -0.62 -1.75
## 1716 -1.55 2.20 -2.05
## 1717 -1.94 -1.30 1.16
## 1718 -1.67 0.92 0.10
## 1719 -0.46 -0.46 -0.04
## 1720 -0.21 1.52 0.13
## 1721 -0.95 0.71 0.20
## 1722 0.52 -0.54 -1.42
## 1723 0.37 -0.77 0.95
## 1724 -0.06 -1.43 -0.88
## 1725 -0.73 0.91 -1.61
## 1726 0.44 1.23 0.80
## 1727 2.05 -2.38 0.37
## 1728 0.55 -0.69 -0.23
## 1729 -1.84 1.11 -0.51
## 1730 0.04 -0.56 -0.13
## 1731 0.44 0.33 0.88
## 1732 -0.43 0.78 -1.18
## 1733 -0.03 0.50 -0.07
## 1734 -1.65 -0.84 -1.98
## 1735 -0.44 0.58 0.59
## 1736 0.82 0.22 0.55
## 1737 0.12 -1.85 0.82
## 1738 0.74 -0.88 0.38
## 1739 -0.51 -0.60 1.22
## 1740 -1.18 -0.17 -1.28
## 1741 0.34 1.35 0.25
## 1742 -0.64 -0.35 -0.52
## 1743 -0.51 -0.66 0.13
## 1744 0.22 1.43 -0.32
## 1745 0.29 1.54 -1.25
## 1746 0.66 -0.59 -1.33
## 1747 1.01 0.34 -0.17
## 1748 1.53 -1.00 0.42
## 1749 1.38 0.18 0.97
## 1750 1.26 0.47 -0.46
## 1751 -2.33 2.00 0.48
## 1752 -0.49 0.46 1.25
## 1753 0.14 1.49 0.00
## 1754 1.81 -0.57 -2.52
## 1755 0.13 -0.31 -1.08
## 1756 -1.68 1.90 -0.39
## 1757 0.10 1.48 0.34
## 1758 0.85 -2.01 -0.92
## 1759 -0.30 1.75 -0.82
## 1760 0.95 2.44 0.53
## 1761 -0.34 0.91 -1.97
## 1762 -1.59 0.97 -0.65
## 1763 -1.65 -1.37 -0.70
## 1764 -0.19 0.57 0.38
## 1765 -0.46 0.46 0.20
## 1766 -0.45 1.38 1.18
## 1767 0.76 0.28 0.05
## 1768 -0.12 -0.30 -1.04
## 1769 1.05 0.04 0.97
## 1770 -1.88 0.10 -0.83
## 1771 -0.14 1.76 -0.53
## 1772 -1.13 -0.20 -0.75
## 1773 0.84 0.36 -0.30
## 1774 0.46 -0.57 -0.33
## 1775 1.58 0.06 0.59
## 1776 0.39 1.42 -0.82
## 1777 0.58 0.30 0.77
## 1778 1.67 1.27 -0.43
## 1779 -1.06 1.95 -0.42
## 1780 0.58 0.74 -0.92
## 1781 0.12 -0.56 -1.16
## 1782 1.62 -0.96 -2.05
## 1783 1.67 0.10 0.24
## 1784 0.42 1.44 -0.11
## 1785 -0.76 -0.32 -0.57
## 1786 1.41 0.90 0.52
## 1787 -0.57 0.80 -0.76
## 1788 -0.14 -0.59 0.39
## 1789 1.45 2.03 0.63
## 1790 0.60 1.37 -0.14
## 1791 -0.81 -0.26 -0.43
## 1792 -0.11 3.22 -1.11
## 1793 0.05 0.73 -2.40
## 1794 -0.47 0.62 0.61
## 1795 -1.18 1.09 -1.89
## 1796 0.72 0.58 -1.40
## 1797 1.29 1.46 -1.27
## 1798 0.57 0.75 -0.98
## 1799 0.71 0.54 -1.38
## 1800 -0.62 2.62 1.69
## 1801 1.27 1.26 -0.28
## 1802 -0.79 -0.42 0.26
## 1803 -0.23 -1.49 -0.15
## 1804 1.20 -0.82 -0.45
## 1805 1.16 0.52 -1.22
## 1806 1.92 0.05 0.60
## 1807 -1.35 -0.22 0.54
## 1808 -0.71 -0.30 -1.15
## 1809 0.68 0.64 -1.15
## 1810 -1.80 1.86 0.37
## 1811 -0.65 0.68 0.21
## 1812 0.21 0.74 -1.13
## 1813 0.82 1.31 -0.09
## 1814 0.11 -0.78 1.11
## 1815 -0.20 1.48 0.67
## 1816 1.00 -1.70 -0.61
## 1817 0.30 -1.75 0.65
## 1818 -0.39 0.73 -1.88
## 1819 0.63 1.42 0.00
## 1820 -0.52 -0.11 -1.93
## 1821 1.12 1.18 -0.49
## 1822 1.53 1.51 -1.06
## 1823 0.07 0.61 -2.28
## 1824 1.34 -0.88 -0.73
## 1825 -0.04 -1.79 -0.68
## 1826 1.05 1.18 0.63
## 1827 0.01 1.33 1.38
## 1828 -0.79 -0.52 0.46
## 1829 1.42 0.16 0.79
## 1830 0.15 0.70 -1.07
## 1831 1.55 1.34 -1.17
## 1832 0.19 -0.45 -1.22
## 1833 0.28 1.48 -0.90
## 1834 -0.17 0.36 0.76
## 1835 1.44 0.04 0.56
## 1836 0.25 1.39 0.66
## 1837 -3.03 -0.93 0.06
## 1838 0.49 1.10 0.12
## 1839 1.90 -1.04 0.17
## 1840 2.01 -1.02 0.06
## 1841 0.04 0.94 -1.60
## 1842 0.64 -1.78 0.44
## 1843 -0.40 -0.78 0.56
## 1844 0.45 0.27 0.63
## 1845 0.85 -0.79 0.85
## 1846 0.59 -0.88 -0.26
## 1847 0.62 0.47 -1.26
## 1848 -1.66 -0.29 0.52
## 1849 -0.02 -1.42 -1.58
## 1850 -0.21 -0.60 0.86
## 1851 0.29 -0.44 -1.32
## 1852 -1.09 -0.26 -0.59
## 1853 0.60 -0.55 -1.57
## 1854 -1.96 0.72 1.16
## 1855 0.07 1.77 -0.68
## 1856 -1.16 2.04 -1.68
## 1857 0.76 0.72 -2.17
## 1858 0.44 0.37 -0.48
## 1859 0.63 -0.79 0.46
## 1860 -0.78 2.89 1.09
## 1861 0.07 1.76 -2.21
## 1862 1.70 -1.03 0.25
## 1863 -0.05 -1.39 -1.15
## 1864 0.63 -0.59 -0.16
## 1865 -1.05 -0.15 -0.88
## 1866 0.06 -1.41 -0.41
## 1867 1.44 0.36 -1.54
## 1868 0.36 -0.36 -1.57
## 1869 1.84 -0.18 0.62
## 1870 -0.96 0.93 0.50
## 1871 1.29 2.11 -0.01
## 1872 -1.13 0.75 0.37
## 1873 0.17 -0.80 0.35
## 1874 0.12 1.85 -1.86
## 1875 -1.32 -0.26 0.01
## 1876 0.32 0.27 0.70
## 1877 -0.97 2.98 -0.62
## 1878 -0.32 0.27 0.46
## 1879 -0.26 0.65 -0.92
## 1880 -0.19 1.45 0.66
## 1881 -0.31 -0.57 0.61
## 1882 0.20 1.31 0.98
## 1883 -0.26 -0.46 -0.17
## 1884 1.38 0.26 -0.55
## 1885 -1.02 -0.06 -0.81
## 1886 -0.30 0.45 -0.19
## 1887 -0.21 0.87 -0.91
## 1888 -1.62 -0.02 0.30
## 1889 0.73 -1.71 -0.84
## 1890 -1.18 -1.52 1.36
## 1891 0.15 0.84 -3.45
## 1892 0.94 -0.76 -1.83
## 1893 -0.65 -0.57 0.84
## 1894 -0.93 -0.38 0.17
## 1895 -0.82 1.83 -0.65
## 1896 1.51 1.21 -0.35
## 1897 -0.16 -0.51 -0.30
## 1898 -1.30 0.80 0.56
## 1899 1.70 -2.15 0.16
## 1900 1.58 0.03 0.35
## 1901 -0.26 0.63 -0.14
## 1902 0.27 1.65 -1.03
## 1903 1.23 -0.92 0.32
## 1904 0.32 2.23 1.20
## 1905 -1.14 1.30 -2.64
## 1906 1.29 -0.86 -0.80
## 1907 -1.00 -0.14 -2.13
## 1908 1.45 -1.96 -1.05
## 1909 -0.69 0.61 0.24
## 1910 1.12 -2.05 -0.97
## 1911 1.03 0.11 0.34
## 1912 0.36 -1.60 -0.40
## 1913 0.42 0.55 -0.65
## 1914 0.00 1.68 0.38
## 1915 0.08 -0.79 0.03
## 1916 -0.87 1.79 0.31
## 1917 -0.50 0.67 0.58
## 1918 -1.10 1.72 0.67
## 1919 0.34 2.33 0.23
## 1920 -1.72 0.03 -0.52
## 1921 0.19 -0.37 -1.40
## 1922 -1.97 0.98 -1.41
## 1923 -1.18 -0.27 0.00
## 1924 -1.20 -0.29 -0.75
## 1925 -1.59 0.91 -0.69
## 1926 1.36 -0.59 -2.55
## 1927 1.66 -2.12 0.21
## 1928 -1.07 -0.50 1.51
## 1929 -0.38 0.58 1.36
## 1930 0.87 -0.76 -0.79
## 1931 0.10 -0.48 -0.22
## 1932 -0.28 1.79 -1.75
## 1933 -0.88 -0.34 0.22
## 1934 1.77 -0.76 -0.41
## 1935 1.53 -0.99 -0.97
## 1936 0.95 2.57 -0.86
## 1937 0.01 -0.82 0.81
## 1938 0.55 1.84 -3.18
## alco_family_state_enter resi_population_enter employer_enter
## 1 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 2 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 3 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 4 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 5 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 6 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 7 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 8 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 9 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 10 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 11 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 12 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 13 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 14 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 15 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 16 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 17 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 18 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 19 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 20 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 21 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 22 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 23 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 24 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 25 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 26 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 27 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 28 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 29 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 30 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 31 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 32 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 33 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 34 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 35 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 36 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 37 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 38 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 39 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 40 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 41 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 42 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 43 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 44 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 45 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 46 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 47 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 48 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 49 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 50 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 51 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 52 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 53 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 54 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 55 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 56 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 57 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 58 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 59 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 60 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 61 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 62 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 63 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 64 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 65 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 66 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 67 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 68 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 69 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 70 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 71 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 72 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 73 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 74 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 75 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 76 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 77 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 78 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 79 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 80 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 81 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 82 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 83 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 84 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 85 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 86 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 87 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 88 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 89 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 90 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 91 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 92 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 93 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 94 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 95 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 96 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 97 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 98 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 99 alco_alcofamily Over 8,000 inhabitants Paid work
## 100 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 101 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 102 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 103 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 104 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 105 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 106 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 107 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 108 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 109 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 110 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 111 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 112 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 113 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 114 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 115 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 116 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 117 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 118 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 119 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 120 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 121 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 122 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 123 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 124 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 125 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 126 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 127 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 128 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 129 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 130 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 131 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 132 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 133 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 134 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 135 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 136 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 137 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 138 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 139 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 140 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 141 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 142 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 143 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 144 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 145 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 146 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 147 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 148 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 149 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 150 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 151 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 152 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 153 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 154 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 155 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 156 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 157 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 158 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 159 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 160 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 161 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 162 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 163 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 164 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 165 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 166 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 167 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 168 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 169 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 170 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 171 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 172 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 173 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 174 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 175 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 176 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 177 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 178 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 179 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 180 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 181 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 182 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 183 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 184 nonalco_alcofamily Less than 8,000 inhabitants Not in paid work
## 185 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 186 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 187 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 188 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 189 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 190 alco_alcofamily Over 8,000 inhabitants Paid work
## 191 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 192 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 193 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 194 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 195 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 196 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 197 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 198 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 199 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 200 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 201 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 202 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 203 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 204 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 205 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 206 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 207 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 208 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 209 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 210 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 211 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 212 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 213 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 214 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 215 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 216 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 217 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 218 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 219 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 220 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 221 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 222 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 223 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 224 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 225 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 226 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 227 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 228 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 229 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 230 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 231 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 232 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 233 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 234 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 235 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 236 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 237 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 238 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 239 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 240 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 241 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 242 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 243 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 244 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 245 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 246 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 247 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 248 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 249 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 250 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 251 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 252 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 253 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 254 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 255 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 256 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 257 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 258 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 259 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 260 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 261 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 262 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 263 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 264 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 265 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 266 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 267 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 268 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 269 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 270 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 271 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 272 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 273 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 274 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 275 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 276 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 277 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 278 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 279 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 280 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 281 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 282 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 283 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 284 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 285 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 286 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 287 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 288 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 289 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 290 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 291 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 292 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 293 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 294 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 295 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 296 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 297 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 298 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 299 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 300 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 301 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 302 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 303 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 304 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 305 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 306 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 307 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 308 alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 309 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 310 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 311 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 312 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 313 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 314 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 315 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 316 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 317 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 318 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 319 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 320 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 321 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 322 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 323 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 324 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 325 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 326 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 327 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 328 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 329 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 330 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 331 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 332 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 333 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 334 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 335 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 336 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 337 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 338 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 339 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 340 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 341 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 342 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 343 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 344 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 345 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 346 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 347 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 348 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 349 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 350 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 351 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 352 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 353 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 354 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 355 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 356 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 357 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 358 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 359 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 360 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 361 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 362 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 363 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 364 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 365 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 366 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 367 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 368 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 369 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 370 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 371 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 372 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 373 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 374 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 375 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 376 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 377 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 378 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 379 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 380 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 381 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 382 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 383 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 384 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 385 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 386 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 387 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 388 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 389 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 390 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 391 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 392 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 393 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 394 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 395 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 396 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 397 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 398 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 399 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 400 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 401 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 402 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 403 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 404 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 405 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 406 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 407 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 408 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 409 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 410 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 411 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 412 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 413 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 414 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 415 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 416 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 417 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 418 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 419 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 420 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 421 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 422 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 423 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 424 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 425 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 426 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 427 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 428 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 429 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 430 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 431 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 432 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 433 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 434 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 435 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 436 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 437 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 438 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 439 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 440 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 441 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 442 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 443 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 444 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 445 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 446 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 447 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 448 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 449 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 450 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 451 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 452 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 453 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 454 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 455 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 456 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 457 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 458 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 459 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 460 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 461 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 462 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 463 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 464 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 465 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 466 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 467 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 468 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 469 alco_alcofamily Over 8,000 inhabitants Not in paid work
## 470 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 471 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 472 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 473 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 474 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 475 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 476 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 477 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 478 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 479 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 480 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 481 alco_alcofamily Over 8,000 inhabitants Not in paid work
## 482 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 483 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 484 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 485 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 486 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 487 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 488 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 489 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 490 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 491 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 492 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 493 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 494 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 495 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 496 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 497 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 498 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 499 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 500 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 501 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 502 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 503 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 504 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 505 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 506 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 507 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 508 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 509 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 510 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 511 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 512 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 513 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 514 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 515 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 516 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 517 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 518 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 519 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 520 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 521 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 522 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 523 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 524 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 525 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 526 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 527 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 528 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 529 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 530 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 531 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 532 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 533 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 534 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 535 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 536 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 537 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 538 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 539 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 540 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 541 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 542 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 543 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 544 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 545 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 546 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 547 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 548 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 549 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 550 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 551 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 552 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 553 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 554 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 555 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 556 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 557 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 558 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 559 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 560 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 561 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 562 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 563 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 564 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 565 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 566 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 567 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 568 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 569 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 570 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 571 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 572 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 573 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 574 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 575 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 576 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 577 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 578 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 579 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 580 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 581 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 582 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 583 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 584 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 585 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 586 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 587 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 588 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 589 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 590 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 591 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 592 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 593 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 594 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 595 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 596 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 597 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 598 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 599 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 600 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 601 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 602 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 603 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 604 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 605 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 606 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 607 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 608 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 609 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 610 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 611 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 612 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 613 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 614 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 615 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 616 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 617 alco_alcofamily Over 8,000 inhabitants Paid work
## 618 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 619 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 620 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 621 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 622 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 623 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 624 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 625 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 626 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 627 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 628 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 629 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 630 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 631 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 632 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 633 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 634 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 635 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 636 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 637 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 638 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 639 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 640 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 641 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 642 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 643 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 644 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 645 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 646 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 647 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 648 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 649 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 650 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 651 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 652 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 653 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 654 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 655 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 656 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 657 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 658 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 659 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 660 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 661 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 662 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 663 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 664 alco_alcofamily Over 8,000 inhabitants Paid work
## 665 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 666 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 667 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 668 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 669 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 670 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 671 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 672 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 673 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 674 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 675 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 676 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 677 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 678 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 679 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 680 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 681 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 682 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 683 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 684 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 685 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 686 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 687 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 688 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 689 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 690 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 691 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 692 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 693 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 694 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 695 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 696 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 697 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 698 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 699 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 700 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 701 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 702 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 703 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 704 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 705 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 706 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 707 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 708 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 709 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 710 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 711 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 712 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 713 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 714 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 715 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 716 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 717 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 718 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 719 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 720 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 721 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 722 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 723 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 724 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 725 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 726 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 727 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 728 alco_alcofamily Over 8,000 inhabitants Paid work
## 729 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 730 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 731 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 732 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 733 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 734 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 735 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 736 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 737 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 738 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 739 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 740 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 741 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 742 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 743 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 744 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 745 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 746 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 747 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 748 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 749 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 750 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 751 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 752 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 753 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 754 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 755 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 756 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 757 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 758 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 759 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 760 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 761 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 762 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 763 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 764 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 765 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 766 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 767 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 768 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 769 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 770 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 771 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 772 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 773 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 774 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 775 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 776 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 777 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 778 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 779 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 780 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 781 alco_alcofamily Less than 8,000 inhabitants Paid work
## 782 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 783 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 784 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 785 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 786 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 787 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 788 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 789 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 790 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 791 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 792 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 793 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 794 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 795 alco_alcofamily Over 8,000 inhabitants Not in paid work
## 796 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 797 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 798 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 799 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 800 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 801 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 802 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 803 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 804 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 805 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 806 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 807 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 808 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 809 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 810 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 811 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 812 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 813 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 814 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 815 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 816 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 817 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 818 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 819 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 820 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 821 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 822 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 823 alco_alcofamily Less than 8,000 inhabitants Paid work
## 824 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 825 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 826 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 827 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 828 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 829 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 830 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 831 alco_alcofamily Over 8,000 inhabitants Paid work
## 832 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 833 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 834 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 835 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 836 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 837 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 838 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 839 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 840 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 841 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 842 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 843 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 844 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 845 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 846 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 847 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 848 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 849 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 850 alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 851 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 852 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 853 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 854 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 855 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 856 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 857 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 858 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 859 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 860 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 861 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 862 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 863 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 864 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 865 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 866 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 867 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 868 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 869 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 870 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 871 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 872 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 873 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 874 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 875 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 876 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 877 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 878 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 879 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 880 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 881 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 882 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 883 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 884 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 885 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 886 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 887 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 888 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 889 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 890 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 891 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 892 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 893 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 894 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 895 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 896 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 897 alco_alcofamily Over 8,000 inhabitants Not in paid work
## 898 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 899 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 900 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 901 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 902 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 903 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 904 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 905 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 906 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 907 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 908 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 909 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 910 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 911 alco_alcofamily Over 8,000 inhabitants Paid work
## 912 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 913 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 914 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 915 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 916 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 917 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 918 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 919 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 920 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 921 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 922 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 923 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 924 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 925 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 926 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 927 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 928 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 929 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 930 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 931 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 932 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 933 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 934 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 935 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 936 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 937 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 938 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 939 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 940 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 941 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 942 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 943 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 944 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 945 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 946 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 947 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 948 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 949 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 950 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 951 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 952 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 953 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 954 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 955 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 956 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 957 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 958 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 959 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 960 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 961 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 962 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 963 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 964 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 965 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 966 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 967 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 968 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 969 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 970 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 971 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 972 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 973 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 974 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 975 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 976 alco_alcofamily Over 8,000 inhabitants Paid work
## 977 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 978 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 979 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 980 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 981 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 982 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 983 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 984 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 985 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 986 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 987 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 988 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 989 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 990 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 991 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 992 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 993 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 994 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 995 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 996 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 997 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 998 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 999 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1000 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1001 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1002 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1003 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1004 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1005 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1006 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1007 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1008 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1009 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1010 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1011 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1012 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1013 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1014 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1015 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1016 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1017 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1018 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1019 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1020 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1021 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1022 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1023 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1024 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1025 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1026 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1027 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1028 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1029 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1030 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1031 alco_alcofamily Over 8,000 inhabitants Paid work
## 1032 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1033 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1034 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1035 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1036 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1037 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1038 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1039 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1040 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1041 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1042 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1043 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1044 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1045 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1046 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1047 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1048 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1049 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1050 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1051 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1052 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1053 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1054 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1055 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1056 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1057 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1058 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1059 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1060 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1061 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1062 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1063 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1064 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1065 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1066 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1067 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1068 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1069 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1070 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1071 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1072 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1073 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1074 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1075 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1076 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1077 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1078 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1079 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1080 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1081 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1082 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1083 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1084 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1085 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1086 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1087 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1088 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1089 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1090 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1091 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1092 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1093 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1094 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1095 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1096 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1097 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1098 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1099 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1100 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1101 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1102 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1103 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1104 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1105 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1106 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1107 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1108 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1109 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1110 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1111 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1112 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1113 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1114 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1115 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1116 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1117 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1118 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1119 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1120 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1121 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1122 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1123 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1124 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1125 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1126 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1127 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1128 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1129 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1130 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1131 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1132 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1133 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1134 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1135 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1136 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1137 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1138 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1139 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1140 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1141 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1142 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1143 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1144 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1145 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1146 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1147 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1148 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1149 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1150 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1151 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1152 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1153 alco_alcofamily Over 8,000 inhabitants Paid work
## 1154 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1155 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1156 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1157 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1158 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1159 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1160 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1161 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1162 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1163 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1164 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1165 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1166 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1167 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1168 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1169 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1170 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1171 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1172 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1173 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1174 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1175 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1176 alco_alcofamily Over 8,000 inhabitants Not in paid work
## 1177 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1178 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1179 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1180 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1181 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1182 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1183 alco_alcofamily Less than 8,000 inhabitants Paid work
## 1184 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1185 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1186 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1187 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1188 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1189 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1190 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1191 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1192 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1193 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1194 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1195 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1196 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1197 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1198 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1199 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1200 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1201 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1202 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1203 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1204 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1205 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1206 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1207 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1208 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1209 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1210 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1211 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1212 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1213 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1214 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1215 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1216 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1217 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1218 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1219 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1220 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1221 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1222 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1223 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1224 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1225 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1226 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1227 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1228 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1229 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1230 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1231 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1232 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1233 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1234 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1235 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1236 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1237 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1238 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1239 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1240 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1241 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1242 alco_alcofamily Over 8,000 inhabitants Paid work
## 1243 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1244 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1245 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1246 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1247 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1248 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1249 nonalco_alcofamily Less than 8,000 inhabitants Not in paid work
## 1250 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1251 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1252 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1253 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1254 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1255 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1256 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1257 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1258 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1259 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1260 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1261 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1262 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1263 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1264 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1265 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1266 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1267 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1268 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1269 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1270 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1271 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1272 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1273 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1274 alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1275 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1276 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1277 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1278 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1279 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1280 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1281 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1282 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1283 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1284 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1285 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1286 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1287 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1288 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1289 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1290 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1291 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1292 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1293 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1294 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1295 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1296 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1297 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1298 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1299 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1300 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1301 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1302 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1303 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1304 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1305 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1306 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1307 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1308 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1309 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1310 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1311 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1312 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1313 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1314 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1315 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1316 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1317 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1318 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1319 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1320 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1321 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1322 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1323 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1324 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1325 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1326 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1327 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1328 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1329 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1330 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1331 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1332 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1333 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1334 alco_alcofamily Over 8,000 inhabitants Paid work
## 1335 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1336 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1337 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1338 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1339 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1340 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1341 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1342 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1343 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1344 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1345 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1346 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1347 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1348 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1349 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1350 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1351 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1352 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1353 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1354 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1355 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1356 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1357 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1358 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1359 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1360 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1361 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1362 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1363 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1364 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1365 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1366 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1367 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1368 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1369 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1370 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1371 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1372 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1373 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1374 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1375 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1376 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1377 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1378 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1379 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1380 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1381 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1382 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1383 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1384 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1385 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1386 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1387 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1388 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1389 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1390 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1391 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1392 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1393 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1394 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1395 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1396 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1397 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1398 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1399 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1400 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1401 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1402 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1403 alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1404 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1405 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1406 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1407 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1408 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1409 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1410 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1411 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1412 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1413 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1414 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1415 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1416 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1417 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1418 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1419 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1420 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1421 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1422 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1423 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1424 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1425 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1426 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1427 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1428 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1429 alco_alcofamily Over 8,000 inhabitants Paid work
## 1430 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1431 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1432 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1433 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1434 nonalco_alcofamily Less than 8,000 inhabitants Not in paid work
## 1435 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1436 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1437 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1438 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1439 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1440 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1441 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1442 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1443 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1444 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1445 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1446 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1447 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1448 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1449 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1450 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1451 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1452 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1453 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1454 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1455 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1456 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1457 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1458 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1459 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1460 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1461 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1462 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1463 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1464 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1465 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1466 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1467 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1468 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1469 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1470 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1471 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1472 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1473 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1474 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1475 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1476 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1477 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1478 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1479 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1480 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1481 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1482 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1483 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1484 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1485 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1486 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1487 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1488 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1489 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1490 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1491 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1492 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1493 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1494 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1495 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1496 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1497 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1498 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1499 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1500 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1501 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1502 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1503 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1504 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1505 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1506 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1507 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1508 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1509 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1510 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1511 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1512 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1513 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1514 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1515 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1516 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1517 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1518 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1519 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1520 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1521 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1522 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1523 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1524 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1525 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1526 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1527 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1528 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1529 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1530 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1531 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1532 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1533 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1534 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1535 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1536 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1537 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1538 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1539 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1540 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1541 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1542 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1543 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1544 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1545 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1546 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1547 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1548 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1549 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1550 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1551 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1552 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1553 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1554 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1555 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1556 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1557 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1558 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1559 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1560 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1561 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1562 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1563 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1564 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1565 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1566 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1567 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1568 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1569 nonalco_alcofamily Less than 8,000 inhabitants Not in paid work
## 1570 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1571 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1572 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1573 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1574 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1575 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1576 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1577 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1578 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1579 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1580 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1581 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1582 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1583 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1584 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1585 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1586 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1587 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1588 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1589 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1590 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1591 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1592 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1593 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1594 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1595 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1596 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1597 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1598 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1599 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1600 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1601 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1602 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1603 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1604 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1605 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1606 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1607 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1608 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1609 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1610 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1611 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1612 alco_alcofamily Over 8,000 inhabitants Paid work
## 1613 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1614 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1615 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1616 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1617 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1618 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1619 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1620 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1621 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1622 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1623 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1624 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1625 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1626 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1627 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1628 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1629 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1630 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1631 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1632 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1633 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1634 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1635 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1636 alco_alcofamily Over 8,000 inhabitants Paid work
## 1637 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1638 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1639 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1640 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1641 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1642 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1643 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1644 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1645 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1646 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1647 alco_alcofamily Over 8,000 inhabitants Not in paid work
## 1648 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1649 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1650 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1651 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1652 alco_alcofamily Over 8,000 inhabitants Paid work
## 1653 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1654 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1655 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1656 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1657 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1658 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1659 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1660 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1661 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1662 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1663 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1664 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1665 alco_alcofamily Over 8,000 inhabitants Paid work
## 1666 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1667 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1668 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1669 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1670 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1671 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1672 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1673 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1674 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1675 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1676 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1677 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1678 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1679 alco_alcofamily Over 8,000 inhabitants Paid work
## 1680 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1681 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1682 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1683 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1684 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1685 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1686 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1687 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1688 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1689 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1690 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1691 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1692 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1693 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1694 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1695 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1696 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1697 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1698 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1699 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1700 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1701 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1702 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1703 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1704 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1705 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1706 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1707 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1708 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1709 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1710 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1711 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1712 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1713 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1714 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1715 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1716 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1717 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1718 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1719 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1720 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1721 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1722 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1723 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1724 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1725 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1726 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1727 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1728 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1729 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1730 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1731 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1732 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1733 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1734 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1735 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1736 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1737 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1738 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1739 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1740 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1741 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1742 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1743 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1744 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1745 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1746 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1747 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1748 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1749 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1750 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1751 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1752 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1753 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1754 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1755 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1756 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1757 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1758 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1759 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1760 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1761 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1762 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1763 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1764 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1765 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1766 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1767 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1768 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1769 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1770 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1771 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1772 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1773 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1774 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1775 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1776 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1777 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1778 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1779 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1780 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1781 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1782 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1783 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1784 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1785 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1786 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1787 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1788 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1789 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1790 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1791 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1792 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1793 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1794 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1795 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1796 alco_alcofamily Over 8,000 inhabitants Paid work
## 1797 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1798 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1799 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1800 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1801 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1802 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1803 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1804 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1805 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1806 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1807 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1808 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1809 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1810 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1811 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1812 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1813 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1814 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1815 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1816 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1817 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1818 non_alco_nonalcofamily Less than 8,000 inhabitants Not in paid work
## 1819 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1820 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1821 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1822 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1823 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1824 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1825 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1826 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1827 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1828 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1829 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1830 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1831 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1832 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1833 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1834 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1835 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1836 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1837 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1838 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1839 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1840 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1841 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1842 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1843 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1844 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1845 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1846 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1847 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1848 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1849 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1850 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1851 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1852 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1853 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1854 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1855 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1856 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1857 nonalco_alcofamily Over 8,000 inhabitants Not in paid work
## 1858 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1859 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1860 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1861 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1862 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1863 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1864 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1865 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1866 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1867 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1868 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1869 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1870 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1871 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1872 alco_alcofamily Over 8,000 inhabitants Paid work
## 1873 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1874 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1875 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1876 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1877 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1878 alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1879 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1880 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1881 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1882 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1883 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1884 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1885 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1886 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1887 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1888 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1889 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1890 alco_alcofamily Over 8,000 inhabitants Not in paid work
## 1891 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1892 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1893 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1894 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1895 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1896 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1897 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1898 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1899 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1900 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1901 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1902 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1903 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1904 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1905 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1906 nonalco_alcofamily Less than 8,000 inhabitants Paid work
## 1907 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1908 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1909 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1910 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1911 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1912 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1913 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1914 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1915 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1916 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1917 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1918 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1919 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1920 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1921 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1922 nonalco_alcofamily Less than 8,000 inhabitants Not in paid work
## 1923 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1924 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1925 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1926 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1927 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1928 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1929 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1930 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1931 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1932 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## 1933 non_alco_nonalcofamily Less than 8,000 inhabitants Paid work
## 1934 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1935 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1936 non_alco_nonalcofamily Over 8,000 inhabitants Paid work
## 1937 nonalco_alcofamily Over 8,000 inhabitants Paid work
## 1938 non_alco_nonalcofamily Over 8,000 inhabitants Not in paid work
## education_basic_enter education_prof_enter
## 1 Upper secondary education Any type of vocational education
## 2 Upper secondary education Any type of vocational education
## 3 Upper secondary education Any type of vocational education
## 4 primary or lower secondary education Any type of vocational education
## 5 primary or lower secondary education Any type of vocational education
## 6 Upper secondary education Any type of vocational education
## 7 primary or lower secondary education Any type of vocational education
## 8 Upper secondary education Any type of vocational education
## 9 Upper secondary education Any type of vocational education
## 10 primary or lower secondary education Any type of vocational education
## 11 primary or lower secondary education Any type of vocational education
## 12 primary or lower secondary education Any type of vocational education
## 13 primary or lower secondary education Any type of vocational education
## 14 Upper secondary education Any type of vocational education
## 15 primary or lower secondary education Any type of vocational education
## 16 primary or lower secondary education Any type of vocational education
## 17 primary or lower secondary education Any type of vocational education
## 18 Upper secondary education No vocational education
## 19 primary or lower secondary education Any type of vocational education
## 20 primary or lower secondary education Any type of vocational education
## 21 Upper secondary education Any type of vocational education
## 22 Upper secondary education Any type of vocational education
## 23 Upper secondary education Any type of vocational education
## 24 primary or lower secondary education Any type of vocational education
## 25 Upper secondary education Any type of vocational education
## 26 primary or lower secondary education Any type of vocational education
## 27 Upper secondary education Any type of vocational education
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## 30 Upper secondary education Any type of vocational education
## 31 Upper secondary education Any type of vocational education
## 32 Upper secondary education Any type of vocational education
## 33 primary or lower secondary education Any type of vocational education
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## 35 Upper secondary education No vocational education
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## 40 primary or lower secondary education Any type of vocational education
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## 42 primary or lower secondary education Any type of vocational education
## 43 primary or lower secondary education Any type of vocational education
## 44 primary or lower secondary education Any type of vocational education
## 45 Upper secondary education No vocational education
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## 49 primary or lower secondary education Any type of vocational education
## 50 Upper secondary education Any type of vocational education
## 51 primary or lower secondary education Any type of vocational education
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## 65 primary or lower secondary education Any type of vocational education
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## 71 primary or lower secondary education Any type of vocational education
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## 78 primary or lower secondary education Any type of vocational education
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## 86 primary or lower secondary education Any type of vocational education
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## 93 primary or lower secondary education Any type of vocational education
## 94 Upper secondary education Any type of vocational education
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## 108 primary or lower secondary education Any type of vocational education
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## 119 primary or lower secondary education Any type of vocational education
## 120 Upper secondary education Any type of vocational education
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## 122 primary or lower secondary education Any type of vocational education
## 123 Upper secondary education Any type of vocational education
## 124 primary or lower secondary education No vocational education
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## 126 primary or lower secondary education Any type of vocational education
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## 129 primary or lower secondary education Any type of vocational education
## 130 primary or lower secondary education Any type of vocational education
## 131 primary or lower secondary education Any type of vocational education
## 132 Upper secondary education Any type of vocational education
## 133 Upper secondary education Any type of vocational education
## 134 Upper secondary education No vocational education
## 135 Upper secondary education Any type of vocational education
## 136 Upper secondary education Any type of vocational education
## 137 primary or lower secondary education Any type of vocational education
## 138 Upper secondary education Any type of vocational education
## 139 Upper secondary education Any type of vocational education
## 140 Upper secondary education No vocational education
## 141 Upper secondary education Any type of vocational education
## 142 Upper secondary education No vocational education
## 143 primary or lower secondary education Any type of vocational education
## 144 primary or lower secondary education Any type of vocational education
## 145 primary or lower secondary education Any type of vocational education
## 146 primary or lower secondary education Any type of vocational education
## 147 Upper secondary education No vocational education
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## 149 primary or lower secondary education Any type of vocational education
## 150 Upper secondary education Any type of vocational education
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## 152 Upper secondary education Any type of vocational education
## 153 primary or lower secondary education Any type of vocational education
## 154 Upper secondary education Any type of vocational education
## 155 primary or lower secondary education Any type of vocational education
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## 158 primary or lower secondary education Any type of vocational education
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## 160 primary or lower secondary education Any type of vocational education
## 161 primary or lower secondary education No vocational education
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## 165 primary or lower secondary education Any type of vocational education
## 166 primary or lower secondary education Any type of vocational education
## 167 Upper secondary education Any type of vocational education
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## 170 Upper secondary education Any type of vocational education
## 171 primary or lower secondary education Any type of vocational education
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## 173 primary or lower secondary education Any type of vocational education
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## 175 primary or lower secondary education Any type of vocational education
## 176 Upper secondary education Any type of vocational education
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## 179 primary or lower secondary education Any type of vocational education
## 180 primary or lower secondary education Any type of vocational education
## 181 primary or lower secondary education Any type of vocational education
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## 183 primary or lower secondary education Any type of vocational education
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## 185 primary or lower secondary education Any type of vocational education
## 186 Upper secondary education Any type of vocational education
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## 188 Upper secondary education Any type of vocational education
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## 190 primary or lower secondary education Any type of vocational education
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## 192 primary or lower secondary education Any type of vocational education
## 193 primary or lower secondary education Any type of vocational education
## 194 primary or lower secondary education Any type of vocational education
## 195 primary or lower secondary education Any type of vocational education
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## 198 primary or lower secondary education Any type of vocational education
## 199 primary or lower secondary education Any type of vocational education
## 200 primary or lower secondary education Any type of vocational education
## 201 Upper secondary education Any type of vocational education
## 202 primary or lower secondary education Any type of vocational education
## 203 Upper secondary education Any type of vocational education
## 204 Upper secondary education Any type of vocational education
## 205 primary or lower secondary education Any type of vocational education
## 206 Upper secondary education Any type of vocational education
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## 208 primary or lower secondary education Any type of vocational education
## 209 primary or lower secondary education Any type of vocational education
## 210 Upper secondary education Any type of vocational education
## 211 primary or lower secondary education Any type of vocational education
## 212 Upper secondary education Any type of vocational education
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## 214 primary or lower secondary education Any type of vocational education
## 215 Upper secondary education Any type of vocational education
## 216 primary or lower secondary education Any type of vocational education
## 217 Upper secondary education Any type of vocational education
## 218 Upper secondary education Any type of vocational education
## 219 primary or lower secondary education Any type of vocational education
## 220 primary or lower secondary education Any type of vocational education
## 221 Upper secondary education Any type of vocational education
## 222 primary or lower secondary education Any type of vocational education
## 223 primary or lower secondary education Any type of vocational education
## 224 primary or lower secondary education Any type of vocational education
## 225 primary or lower secondary education Any type of vocational education
## 226 Upper secondary education Any type of vocational education
## 227 primary or lower secondary education Any type of vocational education
## 228 primary or lower secondary education Any type of vocational education
## 229 Upper secondary education Any type of vocational education
## 230 Upper secondary education Any type of vocational education
## 231 Upper secondary education Any type of vocational education
## 232 primary or lower secondary education Any type of vocational education
## 233 primary or lower secondary education Any type of vocational education
## 234 primary or lower secondary education Any type of vocational education
## 235 primary or lower secondary education Any type of vocational education
## 236 Upper secondary education Any type of vocational education
## 237 primary or lower secondary education Any type of vocational education
## 238 Upper secondary education Any type of vocational education
## 239 primary or lower secondary education Any type of vocational education
## 240 Upper secondary education Any type of vocational education
## 241 primary or lower secondary education Any type of vocational education
## 242 Upper secondary education Any type of vocational education
## 243 primary or lower secondary education Any type of vocational education
## 244 Upper secondary education Any type of vocational education
## 245 Upper secondary education No vocational education
## 246 Upper secondary education Any type of vocational education
## 247 Upper secondary education Any type of vocational education
## 248 primary or lower secondary education Any type of vocational education
## 249 primary or lower secondary education Any type of vocational education
## 250 primary or lower secondary education Any type of vocational education
## 251 primary or lower secondary education Any type of vocational education
## 252 Upper secondary education Any type of vocational education
## 253 Upper secondary education Any type of vocational education
## 254 primary or lower secondary education Any type of vocational education
## 255 primary or lower secondary education Any type of vocational education
## 256 Upper secondary education Any type of vocational education
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## 258 primary or lower secondary education Any type of vocational education
## 259 primary or lower secondary education Any type of vocational education
## 260 primary or lower secondary education Any type of vocational education
## 261 Upper secondary education Any type of vocational education
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## 263 primary or lower secondary education No vocational education
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## 265 primary or lower secondary education Any type of vocational education
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## 271 Upper secondary education Any type of vocational education
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## 275 primary or lower secondary education No vocational education
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## 278 Upper secondary education Any type of vocational education
## 279 Upper secondary education Any type of vocational education
## 280 primary or lower secondary education Any type of vocational education
## 281 Upper secondary education Any type of vocational education
## 282 primary or lower secondary education Any type of vocational education
## 283 primary or lower secondary education Any type of vocational education
## 284 primary or lower secondary education Any type of vocational education
## 285 primary or lower secondary education Any type of vocational education
## 286 Upper secondary education Any type of vocational education
## 287 primary or lower secondary education Any type of vocational education
## 288 primary or lower secondary education No vocational education
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## 290 primary or lower secondary education Any type of vocational education
## 291 Upper secondary education Any type of vocational education
## 292 primary or lower secondary education Any type of vocational education
## 293 primary or lower secondary education Any type of vocational education
## 294 primary or lower secondary education No vocational education
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## 297 primary or lower secondary education Any type of vocational education
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## 299 Upper secondary education Any type of vocational education
## 300 primary or lower secondary education Any type of vocational education
## 301 primary or lower secondary education Any type of vocational education
## 302 Upper secondary education Any type of vocational education
## 303 Upper secondary education Any type of vocational education
## 304 primary or lower secondary education Any type of vocational education
## 305 Upper secondary education Any type of vocational education
## 306 primary or lower secondary education Any type of vocational education
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## 308 Upper secondary education No vocational education
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## 310 primary or lower secondary education Any type of vocational education
## 311 primary or lower secondary education Any type of vocational education
## 312 Upper secondary education Any type of vocational education
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## 315 primary or lower secondary education No vocational education
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## 321 primary or lower secondary education Any type of vocational education
## 322 primary or lower secondary education Any type of vocational education
## 323 primary or lower secondary education Any type of vocational education
## 324 Upper secondary education Any type of vocational education
## 325 Upper secondary education No vocational education
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## 327 primary or lower secondary education Any type of vocational education
## 328 primary or lower secondary education Any type of vocational education
## 329 Upper secondary education Any type of vocational education
## 330 primary or lower secondary education Any type of vocational education
## 331 primary or lower secondary education Any type of vocational education
## 332 Upper secondary education Any type of vocational education
## 333 Upper secondary education Any type of vocational education
## 334 Upper secondary education No vocational education
## 335 Upper secondary education Any type of vocational education
## 336 Upper secondary education Any type of vocational education
## 337 primary or lower secondary education Any type of vocational education
## 338 Upper secondary education No vocational education
## 339 Upper secondary education Any type of vocational education
## 340 primary or lower secondary education Any type of vocational education
## 341 primary or lower secondary education Any type of vocational education
## 342 Upper secondary education Any type of vocational education
## 343 primary or lower secondary education Any type of vocational education
## 344 primary or lower secondary education Any type of vocational education
## 345 Upper secondary education No vocational education
## 346 primary or lower secondary education No vocational education
## 347 primary or lower secondary education Any type of vocational education
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## 349 primary or lower secondary education Any type of vocational education
## 350 primary or lower secondary education Any type of vocational education
## 351 primary or lower secondary education Any type of vocational education
## 352 primary or lower secondary education Any type of vocational education
## 353 primary or lower secondary education Any type of vocational education
## 354 primary or lower secondary education Any type of vocational education
## 355 Upper secondary education Any type of vocational education
## 356 primary or lower secondary education Any type of vocational education
## 357 Upper secondary education Any type of vocational education
## 358 Upper secondary education Any type of vocational education
## 359 primary or lower secondary education Any type of vocational education
## 360 Upper secondary education Any type of vocational education
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## 362 primary or lower secondary education Any type of vocational education
## 363 primary or lower secondary education Any type of vocational education
## 364 primary or lower secondary education Any type of vocational education
## 365 primary or lower secondary education Any type of vocational education
## 366 primary or lower secondary education Any type of vocational education
## 367 primary or lower secondary education Any type of vocational education
## 368 primary or lower secondary education Any type of vocational education
## 369 Upper secondary education Any type of vocational education
## 370 Upper secondary education Any type of vocational education
## 371 Upper secondary education Any type of vocational education
## 372 primary or lower secondary education Any type of vocational education
## 373 Upper secondary education Any type of vocational education
## 374 primary or lower secondary education Any type of vocational education
## 375 Upper secondary education Any type of vocational education
## 376 primary or lower secondary education Any type of vocational education
## 377 Upper secondary education Any type of vocational education
## 378 Upper secondary education Any type of vocational education
## 379 primary or lower secondary education Any type of vocational education
## 380 Upper secondary education Any type of vocational education
## 381 primary or lower secondary education Any type of vocational education
## 382 Upper secondary education Any type of vocational education
## 383 Upper secondary education Any type of vocational education
## 384 primary or lower secondary education Any type of vocational education
## 385 primary or lower secondary education Any type of vocational education
## 386 primary or lower secondary education Any type of vocational education
## 387 Upper secondary education Any type of vocational education
## 388 primary or lower secondary education Any type of vocational education
## 389 Upper secondary education Any type of vocational education
## 390 primary or lower secondary education Any type of vocational education
## 391 Upper secondary education Any type of vocational education
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## 393 Upper secondary education Any type of vocational education
## 394 primary or lower secondary education Any type of vocational education
## 395 primary or lower secondary education Any type of vocational education
## 396 primary or lower secondary education No vocational education
## 397 Upper secondary education No vocational education
## 398 Upper secondary education Any type of vocational education
## 399 Upper secondary education Any type of vocational education
## 400 primary or lower secondary education Any type of vocational education
## 401 primary or lower secondary education Any type of vocational education
## 402 Upper secondary education Any type of vocational education
## 403 Upper secondary education Any type of vocational education
## 404 Upper secondary education Any type of vocational education
## 405 Upper secondary education Any type of vocational education
## 406 primary or lower secondary education Any type of vocational education
## 407 primary or lower secondary education No vocational education
## 408 Upper secondary education Any type of vocational education
## 409 primary or lower secondary education No vocational education
## 410 Upper secondary education Any type of vocational education
## 411 primary or lower secondary education Any type of vocational education
## 412 Upper secondary education Any type of vocational education
## 413 Upper secondary education Any type of vocational education
## 414 primary or lower secondary education Any type of vocational education
## 415 Upper secondary education Any type of vocational education
## 416 primary or lower secondary education Any type of vocational education
## 417 Upper secondary education Any type of vocational education
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## 419 primary or lower secondary education Any type of vocational education
## 420 Upper secondary education Any type of vocational education
## 421 primary or lower secondary education Any type of vocational education
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## 423 primary or lower secondary education Any type of vocational education
## 424 primary or lower secondary education Any type of vocational education
## 425 Upper secondary education Any type of vocational education
## 426 primary or lower secondary education Any type of vocational education
## 427 Upper secondary education Any type of vocational education
## 428 primary or lower secondary education Any type of vocational education
## 429 Upper secondary education Any type of vocational education
## 430 primary or lower secondary education Any type of vocational education
## 431 primary or lower secondary education Any type of vocational education
## 432 Upper secondary education Any type of vocational education
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## 434 Upper secondary education Any type of vocational education
## 435 Upper secondary education Any type of vocational education
## 436 primary or lower secondary education Any type of vocational education
## 437 Upper secondary education Any type of vocational education
## 438 primary or lower secondary education Any type of vocational education
## 439 Upper secondary education Any type of vocational education
## 440 Upper secondary education Any type of vocational education
## 441 primary or lower secondary education Any type of vocational education
## 442 primary or lower secondary education Any type of vocational education
## 443 primary or lower secondary education No vocational education
## 444 primary or lower secondary education Any type of vocational education
## 445 Upper secondary education Any type of vocational education
## 446 Upper secondary education Any type of vocational education
## 447 Upper secondary education Any type of vocational education
## 448 Upper secondary education Any type of vocational education
## 449 Upper secondary education Any type of vocational education
## 450 Upper secondary education Any type of vocational education
## 451 primary or lower secondary education Any type of vocational education
## 452 primary or lower secondary education Any type of vocational education
## 453 primary or lower secondary education Any type of vocational education
## 454 Upper secondary education Any type of vocational education
## 455 primary or lower secondary education Any type of vocational education
## 456 Upper secondary education Any type of vocational education
## 457 Upper secondary education Any type of vocational education
## 458 Upper secondary education Any type of vocational education
## 459 primary or lower secondary education Any type of vocational education
## 460 Upper secondary education Any type of vocational education
## 461 Upper secondary education Any type of vocational education
## 462 primary or lower secondary education Any type of vocational education
## 463 primary or lower secondary education No vocational education
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## 465 primary or lower secondary education Any type of vocational education
## 466 primary or lower secondary education Any type of vocational education
## 467 Upper secondary education Any type of vocational education
## 468 primary or lower secondary education Any type of vocational education
## 469 Upper secondary education Any type of vocational education
## 470 primary or lower secondary education Any type of vocational education
## 471 primary or lower secondary education Any type of vocational education
## 472 Upper secondary education Any type of vocational education
## 473 primary or lower secondary education Any type of vocational education
## 474 primary or lower secondary education Any type of vocational education
## 475 primary or lower secondary education Any type of vocational education
## 476 Upper secondary education Any type of vocational education
## 477 primary or lower secondary education Any type of vocational education
## 478 Upper secondary education Any type of vocational education
## 479 primary or lower secondary education Any type of vocational education
## 480 Upper secondary education Any type of vocational education
## 481 primary or lower secondary education Any type of vocational education
## 482 Upper secondary education Any type of vocational education
## 483 primary or lower secondary education Any type of vocational education
## 484 Upper secondary education Any type of vocational education
## 485 primary or lower secondary education Any type of vocational education
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## 487 primary or lower secondary education Any type of vocational education
## 488 primary or lower secondary education Any type of vocational education
## 489 primary or lower secondary education Any type of vocational education
## 490 primary or lower secondary education Any type of vocational education
## 491 Upper secondary education Any type of vocational education
## 492 Upper secondary education Any type of vocational education
## 493 primary or lower secondary education Any type of vocational education
## 494 primary or lower secondary education Any type of vocational education
## 495 primary or lower secondary education Any type of vocational education
## 496 primary or lower secondary education No vocational education
## 497 primary or lower secondary education Any type of vocational education
## 498 primary or lower secondary education Any type of vocational education
## 499 Upper secondary education Any type of vocational education
## 500 Upper secondary education Any type of vocational education
## 501 primary or lower secondary education Any type of vocational education
## 502 primary or lower secondary education Any type of vocational education
## 503 primary or lower secondary education No vocational education
## 504 primary or lower secondary education Any type of vocational education
## 505 primary or lower secondary education Any type of vocational education
## 506 primary or lower secondary education No vocational education
## 507 Upper secondary education Any type of vocational education
## 508 Upper secondary education Any type of vocational education
## 509 primary or lower secondary education Any type of vocational education
## 510 Upper secondary education Any type of vocational education
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## 512 primary or lower secondary education Any type of vocational education
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## 514 Upper secondary education Any type of vocational education
## 515 primary or lower secondary education Any type of vocational education
## 516 primary or lower secondary education No vocational education
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## 518 primary or lower secondary education Any type of vocational education
## 519 primary or lower secondary education Any type of vocational education
## 520 primary or lower secondary education Any type of vocational education
## 521 Upper secondary education Any type of vocational education
## 522 primary or lower secondary education Any type of vocational education
## 523 Upper secondary education Any type of vocational education
## 524 primary or lower secondary education Any type of vocational education
## 525 Upper secondary education Any type of vocational education
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## 527 primary or lower secondary education Any type of vocational education
## 528 primary or lower secondary education Any type of vocational education
## 529 Upper secondary education Any type of vocational education
## 530 primary or lower secondary education Any type of vocational education
## 531 primary or lower secondary education Any type of vocational education
## 532 primary or lower secondary education Any type of vocational education
## 533 Upper secondary education Any type of vocational education
## 534 primary or lower secondary education Any type of vocational education
## 535 primary or lower secondary education Any type of vocational education
## 536 primary or lower secondary education Any type of vocational education
## 537 primary or lower secondary education Any type of vocational education
## 538 primary or lower secondary education Any type of vocational education
## 539 primary or lower secondary education Any type of vocational education
## 540 Upper secondary education Any type of vocational education
## 541 primary or lower secondary education Any type of vocational education
## 542 Upper secondary education Any type of vocational education
## 543 primary or lower secondary education Any type of vocational education
## 544 primary or lower secondary education Any type of vocational education
## 545 Upper secondary education Any type of vocational education
## 546 primary or lower secondary education Any type of vocational education
## 547 Upper secondary education Any type of vocational education
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## 549 Upper secondary education Any type of vocational education
## 550 primary or lower secondary education Any type of vocational education
## 551 primary or lower secondary education Any type of vocational education
## 552 Upper secondary education Any type of vocational education
## 553 primary or lower secondary education Any type of vocational education
## 554 primary or lower secondary education Any type of vocational education
## 555 primary or lower secondary education Any type of vocational education
## 556 Upper secondary education Any type of vocational education
## 557 Upper secondary education Any type of vocational education
## 558 Upper secondary education Any type of vocational education
## 559 primary or lower secondary education Any type of vocational education
## 560 primary or lower secondary education No vocational education
## 561 Upper secondary education Any type of vocational education
## 562 primary or lower secondary education Any type of vocational education
## 563 Upper secondary education Any type of vocational education
## 564 primary or lower secondary education Any type of vocational education
## 565 primary or lower secondary education Any type of vocational education
## 566 primary or lower secondary education Any type of vocational education
## 567 primary or lower secondary education Any type of vocational education
## 568 primary or lower secondary education Any type of vocational education
## 569 primary or lower secondary education Any type of vocational education
## 570 Upper secondary education Any type of vocational education
## 571 primary or lower secondary education Any type of vocational education
## 572 primary or lower secondary education Any type of vocational education
## 573 Upper secondary education Any type of vocational education
## 574 Upper secondary education Any type of vocational education
## 575 primary or lower secondary education Any type of vocational education
## 576 Upper secondary education Any type of vocational education
## 577 Upper secondary education Any type of vocational education
## 578 Upper secondary education Any type of vocational education
## 579 primary or lower secondary education Any type of vocational education
## 580 primary or lower secondary education Any type of vocational education
## 581 primary or lower secondary education Any type of vocational education
## 582 primary or lower secondary education Any type of vocational education
## 583 Upper secondary education Any type of vocational education
## 584 Upper secondary education No vocational education
## 585 Upper secondary education Any type of vocational education
## 586 primary or lower secondary education Any type of vocational education
## 587 Upper secondary education Any type of vocational education
## 588 Upper secondary education Any type of vocational education
## 589 primary or lower secondary education Any type of vocational education
## 590 primary or lower secondary education Any type of vocational education
## 591 primary or lower secondary education Any type of vocational education
## 592 primary or lower secondary education Any type of vocational education
## 593 primary or lower secondary education Any type of vocational education
## 594 Upper secondary education Any type of vocational education
## 595 primary or lower secondary education Any type of vocational education
## 596 Upper secondary education Any type of vocational education
## 597 primary or lower secondary education Any type of vocational education
## 598 primary or lower secondary education Any type of vocational education
## 599 primary or lower secondary education Any type of vocational education
## 600 primary or lower secondary education Any type of vocational education
## 601 primary or lower secondary education Any type of vocational education
## 602 primary or lower secondary education Any type of vocational education
## 603 primary or lower secondary education Any type of vocational education
## 604 Upper secondary education No vocational education
## 605 primary or lower secondary education Any type of vocational education
## 606 primary or lower secondary education Any type of vocational education
## 607 Upper secondary education Any type of vocational education
## 608 Upper secondary education No vocational education
## 609 primary or lower secondary education Any type of vocational education
## 610 primary or lower secondary education Any type of vocational education
## 611 Upper secondary education Any type of vocational education
## 612 primary or lower secondary education No vocational education
## 613 primary or lower secondary education Any type of vocational education
## 614 Upper secondary education Any type of vocational education
## 615 Upper secondary education Any type of vocational education
## 616 Upper secondary education Any type of vocational education
## 617 Upper secondary education Any type of vocational education
## 618 Upper secondary education Any type of vocational education
## 619 Upper secondary education Any type of vocational education
## 620 Upper secondary education Any type of vocational education
## 621 Upper secondary education Any type of vocational education
## 622 Upper secondary education Any type of vocational education
## 623 Upper secondary education Any type of vocational education
## 624 Upper secondary education Any type of vocational education
## 625 Upper secondary education Any type of vocational education
## 626 primary or lower secondary education Any type of vocational education
## 627 primary or lower secondary education Any type of vocational education
## 628 primary or lower secondary education Any type of vocational education
## 629 Upper secondary education No vocational education
## 630 Upper secondary education Any type of vocational education
## 631 primary or lower secondary education Any type of vocational education
## 632 primary or lower secondary education Any type of vocational education
## 633 Upper secondary education Any type of vocational education
## 634 Upper secondary education Any type of vocational education
## 635 Upper secondary education Any type of vocational education
## 636 primary or lower secondary education Any type of vocational education
## 637 primary or lower secondary education Any type of vocational education
## 638 Upper secondary education Any type of vocational education
## 639 primary or lower secondary education Any type of vocational education
## 640 primary or lower secondary education Any type of vocational education
## 641 Upper secondary education Any type of vocational education
## 642 Upper secondary education Any type of vocational education
## 643 Upper secondary education Any type of vocational education
## 644 Upper secondary education Any type of vocational education
## 645 primary or lower secondary education Any type of vocational education
## 646 primary or lower secondary education Any type of vocational education
## 647 primary or lower secondary education Any type of vocational education
## 648 Upper secondary education Any type of vocational education
## 649 primary or lower secondary education Any type of vocational education
## 650 primary or lower secondary education Any type of vocational education
## 651 primary or lower secondary education Any type of vocational education
## 652 primary or lower secondary education Any type of vocational education
## 653 Upper secondary education Any type of vocational education
## 654 Upper secondary education Any type of vocational education
## 655 primary or lower secondary education Any type of vocational education
## 656 primary or lower secondary education Any type of vocational education
## 657 Upper secondary education Any type of vocational education
## 658 Upper secondary education Any type of vocational education
## 659 primary or lower secondary education No vocational education
## 660 Upper secondary education Any type of vocational education
## 661 Upper secondary education Any type of vocational education
## 662 primary or lower secondary education Any type of vocational education
## 663 Upper secondary education No vocational education
## 664 Upper secondary education Any type of vocational education
## 665 primary or lower secondary education Any type of vocational education
## 666 primary or lower secondary education Any type of vocational education
## 667 primary or lower secondary education Any type of vocational education
## 668 primary or lower secondary education No vocational education
## 669 Upper secondary education Any type of vocational education
## 670 Upper secondary education Any type of vocational education
## 671 Upper secondary education Any type of vocational education
## 672 Upper secondary education Any type of vocational education
## 673 Upper secondary education Any type of vocational education
## 674 Upper secondary education Any type of vocational education
## 675 Upper secondary education Any type of vocational education
## 676 Upper secondary education Any type of vocational education
## 677 Upper secondary education Any type of vocational education
## 678 Upper secondary education Any type of vocational education
## 679 Upper secondary education Any type of vocational education
## 680 primary or lower secondary education Any type of vocational education
## 681 primary or lower secondary education No vocational education
## 682 Upper secondary education Any type of vocational education
## 683 primary or lower secondary education No vocational education
## 684 primary or lower secondary education Any type of vocational education
## 685 Upper secondary education Any type of vocational education
## 686 primary or lower secondary education Any type of vocational education
## 687 Upper secondary education Any type of vocational education
## 688 Upper secondary education Any type of vocational education
## 689 Upper secondary education Any type of vocational education
## 690 primary or lower secondary education Any type of vocational education
## 691 Upper secondary education Any type of vocational education
## 692 primary or lower secondary education Any type of vocational education
## 693 primary or lower secondary education Any type of vocational education
## 694 Upper secondary education Any type of vocational education
## 695 primary or lower secondary education No vocational education
## 696 Upper secondary education Any type of vocational education
## 697 primary or lower secondary education Any type of vocational education
## 698 primary or lower secondary education Any type of vocational education
## 699 primary or lower secondary education Any type of vocational education
## 700 primary or lower secondary education Any type of vocational education
## 701 Upper secondary education Any type of vocational education
## 702 primary or lower secondary education Any type of vocational education
## 703 primary or lower secondary education Any type of vocational education
## 704 Upper secondary education Any type of vocational education
## 705 Upper secondary education Any type of vocational education
## 706 Upper secondary education Any type of vocational education
## 707 Upper secondary education Any type of vocational education
## 708 Upper secondary education Any type of vocational education
## 709 primary or lower secondary education Any type of vocational education
## 710 Upper secondary education Any type of vocational education
## 711 Upper secondary education Any type of vocational education
## 712 Upper secondary education Any type of vocational education
## 713 primary or lower secondary education Any type of vocational education
## 714 primary or lower secondary education No vocational education
## 715 Upper secondary education Any type of vocational education
## 716 primary or lower secondary education Any type of vocational education
## 717 primary or lower secondary education Any type of vocational education
## 718 Upper secondary education Any type of vocational education
## 719 primary or lower secondary education Any type of vocational education
## 720 Upper secondary education Any type of vocational education
## 721 Upper secondary education Any type of vocational education
## 722 Upper secondary education Any type of vocational education
## 723 primary or lower secondary education Any type of vocational education
## 724 primary or lower secondary education Any type of vocational education
## 725 primary or lower secondary education No vocational education
## 726 primary or lower secondary education Any type of vocational education
## 727 Upper secondary education Any type of vocational education
## 728 Upper secondary education Any type of vocational education
## 729 Upper secondary education No vocational education
## 730 Upper secondary education Any type of vocational education
## 731 primary or lower secondary education Any type of vocational education
## 732 Upper secondary education Any type of vocational education
## 733 primary or lower secondary education No vocational education
## 734 primary or lower secondary education Any type of vocational education
## 735 Upper secondary education Any type of vocational education
## 736 primary or lower secondary education Any type of vocational education
## 737 Upper secondary education Any type of vocational education
## 738 primary or lower secondary education Any type of vocational education
## 739 primary or lower secondary education Any type of vocational education
## 740 primary or lower secondary education Any type of vocational education
## 741 Upper secondary education Any type of vocational education
## 742 Upper secondary education Any type of vocational education
## 743 primary or lower secondary education Any type of vocational education
## 744 Upper secondary education Any type of vocational education
## 745 Upper secondary education Any type of vocational education
## 746 Upper secondary education Any type of vocational education
## 747 Upper secondary education Any type of vocational education
## 748 Upper secondary education Any type of vocational education
## 749 primary or lower secondary education Any type of vocational education
## 750 primary or lower secondary education Any type of vocational education
## 751 Upper secondary education No vocational education
## 752 primary or lower secondary education Any type of vocational education
## 753 Upper secondary education Any type of vocational education
## 754 primary or lower secondary education Any type of vocational education
## 755 primary or lower secondary education Any type of vocational education
## 756 primary or lower secondary education Any type of vocational education
## 757 Upper secondary education Any type of vocational education
## 758 primary or lower secondary education Any type of vocational education
## 759 primary or lower secondary education Any type of vocational education
## 760 primary or lower secondary education Any type of vocational education
## 761 primary or lower secondary education Any type of vocational education
## 762 primary or lower secondary education Any type of vocational education
## 763 Upper secondary education Any type of vocational education
## 764 Upper secondary education Any type of vocational education
## 765 Upper secondary education Any type of vocational education
## 766 Upper secondary education Any type of vocational education
## 767 Upper secondary education Any type of vocational education
## 768 primary or lower secondary education Any type of vocational education
## 769 Upper secondary education No vocational education
## 770 primary or lower secondary education Any type of vocational education
## 771 Upper secondary education Any type of vocational education
## 772 Upper secondary education Any type of vocational education
## 773 Upper secondary education Any type of vocational education
## 774 primary or lower secondary education Any type of vocational education
## 775 Upper secondary education Any type of vocational education
## 776 primary or lower secondary education Any type of vocational education
## 777 primary or lower secondary education Any type of vocational education
## 778 Upper secondary education Any type of vocational education
## 779 Upper secondary education Any type of vocational education
## 780 Upper secondary education Any type of vocational education
## 781 primary or lower secondary education Any type of vocational education
## 782 Upper secondary education Any type of vocational education
## 783 primary or lower secondary education Any type of vocational education
## 784 Upper secondary education Any type of vocational education
## 785 Upper secondary education Any type of vocational education
## 786 primary or lower secondary education No vocational education
## 787 primary or lower secondary education Any type of vocational education
## 788 Upper secondary education Any type of vocational education
## 789 primary or lower secondary education Any type of vocational education
## 790 Upper secondary education Any type of vocational education
## 791 Upper secondary education Any type of vocational education
## 792 primary or lower secondary education Any type of vocational education
## 793 Upper secondary education Any type of vocational education
## 794 Upper secondary education Any type of vocational education
## 795 Upper secondary education No vocational education
## 796 primary or lower secondary education Any type of vocational education
## 797 Upper secondary education Any type of vocational education
## 798 primary or lower secondary education Any type of vocational education
## 799 Upper secondary education Any type of vocational education
## 800 Upper secondary education Any type of vocational education
## 801 Upper secondary education Any type of vocational education
## 802 Upper secondary education Any type of vocational education
## 803 primary or lower secondary education Any type of vocational education
## 804 primary or lower secondary education Any type of vocational education
## 805 primary or lower secondary education Any type of vocational education
## 806 Upper secondary education Any type of vocational education
## 807 Upper secondary education Any type of vocational education
## 808 Upper secondary education Any type of vocational education
## 809 primary or lower secondary education Any type of vocational education
## 810 primary or lower secondary education No vocational education
## 811 Upper secondary education Any type of vocational education
## 812 Upper secondary education Any type of vocational education
## 813 Upper secondary education Any type of vocational education
## 814 primary or lower secondary education Any type of vocational education
## 815 primary or lower secondary education Any type of vocational education
## 816 Upper secondary education Any type of vocational education
## 817 Upper secondary education Any type of vocational education
## 818 primary or lower secondary education Any type of vocational education
## 819 primary or lower secondary education Any type of vocational education
## 820 primary or lower secondary education Any type of vocational education
## 821 Upper secondary education Any type of vocational education
## 822 primary or lower secondary education Any type of vocational education
## 823 Upper secondary education No vocational education
## 824 Upper secondary education Any type of vocational education
## 825 Upper secondary education Any type of vocational education
## 826 Upper secondary education Any type of vocational education
## 827 primary or lower secondary education Any type of vocational education
## 828 primary or lower secondary education Any type of vocational education
## 829 primary or lower secondary education Any type of vocational education
## 830 Upper secondary education Any type of vocational education
## 831 Upper secondary education Any type of vocational education
## 832 Upper secondary education Any type of vocational education
## 833 Upper secondary education Any type of vocational education
## 834 primary or lower secondary education Any type of vocational education
## 835 primary or lower secondary education Any type of vocational education
## 836 Upper secondary education Any type of vocational education
## 837 primary or lower secondary education Any type of vocational education
## 838 primary or lower secondary education No vocational education
## 839 Upper secondary education Any type of vocational education
## 840 primary or lower secondary education Any type of vocational education
## 841 Upper secondary education Any type of vocational education
## 842 Upper secondary education Any type of vocational education
## 843 primary or lower secondary education Any type of vocational education
## 844 primary or lower secondary education Any type of vocational education
## 845 Upper secondary education Any type of vocational education
## 846 primary or lower secondary education No vocational education
## 847 Upper secondary education Any type of vocational education
## 848 primary or lower secondary education Any type of vocational education
## 849 primary or lower secondary education Any type of vocational education
## 850 primary or lower secondary education Any type of vocational education
## 851 Upper secondary education Any type of vocational education
## 852 primary or lower secondary education Any type of vocational education
## 853 primary or lower secondary education Any type of vocational education
## 854 Upper secondary education Any type of vocational education
## 855 Upper secondary education Any type of vocational education
## 856 primary or lower secondary education Any type of vocational education
## 857 Upper secondary education Any type of vocational education
## 858 Upper secondary education Any type of vocational education
## 859 Upper secondary education Any type of vocational education
## 860 Upper secondary education Any type of vocational education
## 861 Upper secondary education Any type of vocational education
## 862 Upper secondary education Any type of vocational education
## 863 Upper secondary education Any type of vocational education
## 864 Upper secondary education Any type of vocational education
## 865 primary or lower secondary education Any type of vocational education
## 866 Upper secondary education Any type of vocational education
## 867 primary or lower secondary education Any type of vocational education
## 868 Upper secondary education Any type of vocational education
## 869 Upper secondary education Any type of vocational education
## 870 Upper secondary education Any type of vocational education
## 871 Upper secondary education Any type of vocational education
## 872 primary or lower secondary education Any type of vocational education
## 873 primary or lower secondary education Any type of vocational education
## 874 primary or lower secondary education Any type of vocational education
## 875 Upper secondary education Any type of vocational education
## 876 Upper secondary education Any type of vocational education
## 877 Upper secondary education Any type of vocational education
## 878 primary or lower secondary education Any type of vocational education
## 879 Upper secondary education Any type of vocational education
## 880 Upper secondary education Any type of vocational education
## 881 primary or lower secondary education Any type of vocational education
## 882 primary or lower secondary education Any type of vocational education
## 883 primary or lower secondary education Any type of vocational education
## 884 Upper secondary education Any type of vocational education
## 885 Upper secondary education Any type of vocational education
## 886 primary or lower secondary education Any type of vocational education
## 887 Upper secondary education Any type of vocational education
## 888 primary or lower secondary education Any type of vocational education
## 889 primary or lower secondary education Any type of vocational education
## 890 primary or lower secondary education Any type of vocational education
## 891 Upper secondary education Any type of vocational education
## 892 primary or lower secondary education Any type of vocational education
## 893 primary or lower secondary education No vocational education
## 894 Upper secondary education Any type of vocational education
## 895 Upper secondary education Any type of vocational education
## 896 Upper secondary education Any type of vocational education
## 897 primary or lower secondary education Any type of vocational education
## 898 primary or lower secondary education Any type of vocational education
## 899 primary or lower secondary education Any type of vocational education
## 900 Upper secondary education Any type of vocational education
## 901 primary or lower secondary education Any type of vocational education
## 902 primary or lower secondary education Any type of vocational education
## 903 Upper secondary education Any type of vocational education
## 904 Upper secondary education Any type of vocational education
## 905 Upper secondary education Any type of vocational education
## 906 primary or lower secondary education Any type of vocational education
## 907 Upper secondary education Any type of vocational education
## 908 primary or lower secondary education Any type of vocational education
## 909 primary or lower secondary education No vocational education
## 910 primary or lower secondary education Any type of vocational education
## 911 Upper secondary education Any type of vocational education
## 912 Upper secondary education Any type of vocational education
## 913 primary or lower secondary education No vocational education
## 914 Upper secondary education Any type of vocational education
## 915 primary or lower secondary education Any type of vocational education
## 916 primary or lower secondary education Any type of vocational education
## 917 primary or lower secondary education Any type of vocational education
## 918 primary or lower secondary education Any type of vocational education
## 919 Upper secondary education No vocational education
## 920 primary or lower secondary education Any type of vocational education
## 921 primary or lower secondary education Any type of vocational education
## 922 Upper secondary education Any type of vocational education
## 923 primary or lower secondary education Any type of vocational education
## 924 Upper secondary education Any type of vocational education
## 925 Upper secondary education Any type of vocational education
## 926 Upper secondary education Any type of vocational education
## 927 Upper secondary education Any type of vocational education
## 928 Upper secondary education Any type of vocational education
## 929 primary or lower secondary education Any type of vocational education
## 930 Upper secondary education Any type of vocational education
## 931 Upper secondary education Any type of vocational education
## 932 primary or lower secondary education Any type of vocational education
## 933 Upper secondary education Any type of vocational education
## 934 Upper secondary education Any type of vocational education
## 935 primary or lower secondary education Any type of vocational education
## 936 primary or lower secondary education Any type of vocational education
## 937 primary or lower secondary education Any type of vocational education
## 938 primary or lower secondary education No vocational education
## 939 Upper secondary education Any type of vocational education
## 940 Upper secondary education Any type of vocational education
## 941 primary or lower secondary education No vocational education
## 942 primary or lower secondary education Any type of vocational education
## 943 Upper secondary education Any type of vocational education
## 944 Upper secondary education Any type of vocational education
## 945 primary or lower secondary education Any type of vocational education
## 946 primary or lower secondary education Any type of vocational education
## 947 primary or lower secondary education Any type of vocational education
## 948 Upper secondary education Any type of vocational education
## 949 Upper secondary education Any type of vocational education
## 950 Upper secondary education Any type of vocational education
## 951 Upper secondary education Any type of vocational education
## 952 primary or lower secondary education Any type of vocational education
## 953 Upper secondary education Any type of vocational education
## 954 Upper secondary education Any type of vocational education
## 955 primary or lower secondary education Any type of vocational education
## 956 primary or lower secondary education Any type of vocational education
## 957 primary or lower secondary education Any type of vocational education
## 958 primary or lower secondary education Any type of vocational education
## 959 primary or lower secondary education Any type of vocational education
## 960 Upper secondary education Any type of vocational education
## 961 primary or lower secondary education Any type of vocational education
## 962 Upper secondary education Any type of vocational education
## 963 Upper secondary education Any type of vocational education
## 964 Upper secondary education Any type of vocational education
## 965 primary or lower secondary education No vocational education
## 966 primary or lower secondary education Any type of vocational education
## 967 Upper secondary education Any type of vocational education
## 968 primary or lower secondary education Any type of vocational education
## 969 Upper secondary education Any type of vocational education
## 970 primary or lower secondary education Any type of vocational education
## 971 primary or lower secondary education Any type of vocational education
## 972 primary or lower secondary education Any type of vocational education
## 973 primary or lower secondary education Any type of vocational education
## 974 primary or lower secondary education Any type of vocational education
## 975 Upper secondary education Any type of vocational education
## 976 Upper secondary education Any type of vocational education
## 977 Upper secondary education Any type of vocational education
## 978 Upper secondary education Any type of vocational education
## 979 primary or lower secondary education Any type of vocational education
## 980 primary or lower secondary education Any type of vocational education
## 981 Upper secondary education Any type of vocational education
## 982 Upper secondary education No vocational education
## 983 Upper secondary education Any type of vocational education
## 984 primary or lower secondary education Any type of vocational education
## 985 primary or lower secondary education Any type of vocational education
## 986 primary or lower secondary education Any type of vocational education
## 987 Upper secondary education Any type of vocational education
## 988 primary or lower secondary education No vocational education
## 989 primary or lower secondary education Any type of vocational education
## 990 Upper secondary education Any type of vocational education
## 991 primary or lower secondary education Any type of vocational education
## 992 primary or lower secondary education Any type of vocational education
## 993 Upper secondary education Any type of vocational education
## 994 Upper secondary education Any type of vocational education
## 995 Upper secondary education Any type of vocational education
## 996 primary or lower secondary education Any type of vocational education
## 997 primary or lower secondary education Any type of vocational education
## 998 primary or lower secondary education Any type of vocational education
## 999 primary or lower secondary education Any type of vocational education
## 1000 Upper secondary education Any type of vocational education
## 1001 Upper secondary education Any type of vocational education
## 1002 Upper secondary education Any type of vocational education
## 1003 primary or lower secondary education Any type of vocational education
## 1004 Upper secondary education Any type of vocational education
## 1005 Upper secondary education Any type of vocational education
## 1006 Upper secondary education Any type of vocational education
## 1007 Upper secondary education Any type of vocational education
## 1008 Upper secondary education Any type of vocational education
## 1009 primary or lower secondary education Any type of vocational education
## 1010 primary or lower secondary education Any type of vocational education
## 1011 Upper secondary education Any type of vocational education
## 1012 primary or lower secondary education Any type of vocational education
## 1013 Upper secondary education No vocational education
## 1014 primary or lower secondary education Any type of vocational education
## 1015 primary or lower secondary education Any type of vocational education
## 1016 Upper secondary education Any type of vocational education
## 1017 primary or lower secondary education Any type of vocational education
## 1018 primary or lower secondary education Any type of vocational education
## 1019 primary or lower secondary education Any type of vocational education
## 1020 Upper secondary education Any type of vocational education
## 1021 Upper secondary education Any type of vocational education
## 1022 Upper secondary education Any type of vocational education
## 1023 Upper secondary education Any type of vocational education
## 1024 Upper secondary education Any type of vocational education
## 1025 Upper secondary education Any type of vocational education
## 1026 Upper secondary education Any type of vocational education
## 1027 primary or lower secondary education Any type of vocational education
## 1028 primary or lower secondary education Any type of vocational education
## 1029 primary or lower secondary education Any type of vocational education
## 1030 Upper secondary education Any type of vocational education
## 1031 Upper secondary education Any type of vocational education
## 1032 Upper secondary education Any type of vocational education
## 1033 Upper secondary education Any type of vocational education
## 1034 primary or lower secondary education Any type of vocational education
## 1035 primary or lower secondary education Any type of vocational education
## 1036 Upper secondary education Any type of vocational education
## 1037 primary or lower secondary education Any type of vocational education
## 1038 Upper secondary education Any type of vocational education
## 1039 primary or lower secondary education Any type of vocational education
## 1040 Upper secondary education Any type of vocational education
## 1041 primary or lower secondary education No vocational education
## 1042 primary or lower secondary education Any type of vocational education
## 1043 primary or lower secondary education Any type of vocational education
## 1044 Upper secondary education Any type of vocational education
## 1045 primary or lower secondary education Any type of vocational education
## 1046 primary or lower secondary education Any type of vocational education
## 1047 Upper secondary education Any type of vocational education
## 1048 primary or lower secondary education Any type of vocational education
## 1049 primary or lower secondary education Any type of vocational education
## 1050 primary or lower secondary education Any type of vocational education
## 1051 primary or lower secondary education Any type of vocational education
## 1052 primary or lower secondary education Any type of vocational education
## 1053 Upper secondary education Any type of vocational education
## 1054 Upper secondary education Any type of vocational education
## 1055 primary or lower secondary education Any type of vocational education
## 1056 primary or lower secondary education Any type of vocational education
## 1057 primary or lower secondary education Any type of vocational education
## 1058 primary or lower secondary education Any type of vocational education
## 1059 primary or lower secondary education Any type of vocational education
## 1060 primary or lower secondary education Any type of vocational education
## 1061 Upper secondary education Any type of vocational education
## 1062 primary or lower secondary education Any type of vocational education
## 1063 Upper secondary education Any type of vocational education
## 1064 Upper secondary education Any type of vocational education
## 1065 Upper secondary education Any type of vocational education
## 1066 primary or lower secondary education Any type of vocational education
## 1067 Upper secondary education No vocational education
## 1068 primary or lower secondary education Any type of vocational education
## 1069 primary or lower secondary education Any type of vocational education
## 1070 primary or lower secondary education Any type of vocational education
## 1071 primary or lower secondary education No vocational education
## 1072 primary or lower secondary education Any type of vocational education
## 1073 primary or lower secondary education Any type of vocational education
## 1074 primary or lower secondary education Any type of vocational education
## 1075 Upper secondary education No vocational education
## 1076 primary or lower secondary education Any type of vocational education
## 1077 primary or lower secondary education Any type of vocational education
## 1078 primary or lower secondary education Any type of vocational education
## 1079 primary or lower secondary education Any type of vocational education
## 1080 Upper secondary education Any type of vocational education
## 1081 Upper secondary education Any type of vocational education
## 1082 primary or lower secondary education Any type of vocational education
## 1083 primary or lower secondary education Any type of vocational education
## 1084 Upper secondary education Any type of vocational education
## 1085 Upper secondary education Any type of vocational education
## 1086 primary or lower secondary education Any type of vocational education
## 1087 Upper secondary education Any type of vocational education
## 1088 primary or lower secondary education Any type of vocational education
## 1089 primary or lower secondary education Any type of vocational education
## 1090 primary or lower secondary education Any type of vocational education
## 1091 primary or lower secondary education Any type of vocational education
## 1092 primary or lower secondary education Any type of vocational education
## 1093 Upper secondary education Any type of vocational education
## 1094 Upper secondary education Any type of vocational education
## 1095 Upper secondary education Any type of vocational education
## 1096 primary or lower secondary education No vocational education
## 1097 primary or lower secondary education Any type of vocational education
## 1098 Upper secondary education Any type of vocational education
## 1099 Upper secondary education Any type of vocational education
## 1100 Upper secondary education Any type of vocational education
## 1101 Upper secondary education Any type of vocational education
## 1102 primary or lower secondary education Any type of vocational education
## 1103 Upper secondary education Any type of vocational education
## 1104 Upper secondary education Any type of vocational education
## 1105 Upper secondary education Any type of vocational education
## 1106 Upper secondary education Any type of vocational education
## 1107 Upper secondary education No vocational education
## 1108 Upper secondary education Any type of vocational education
## 1109 Upper secondary education Any type of vocational education
## 1110 primary or lower secondary education Any type of vocational education
## 1111 Upper secondary education Any type of vocational education
## 1112 Upper secondary education Any type of vocational education
## 1113 primary or lower secondary education Any type of vocational education
## 1114 Upper secondary education Any type of vocational education
## 1115 primary or lower secondary education Any type of vocational education
## 1116 Upper secondary education No vocational education
## 1117 Upper secondary education Any type of vocational education
## 1118 Upper secondary education Any type of vocational education
## 1119 Upper secondary education Any type of vocational education
## 1120 primary or lower secondary education Any type of vocational education
## 1121 Upper secondary education No vocational education
## 1122 primary or lower secondary education Any type of vocational education
## 1123 primary or lower secondary education Any type of vocational education
## 1124 primary or lower secondary education Any type of vocational education
## 1125 primary or lower secondary education Any type of vocational education
## 1126 primary or lower secondary education Any type of vocational education
## 1127 primary or lower secondary education Any type of vocational education
## 1128 primary or lower secondary education Any type of vocational education
## 1129 Upper secondary education Any type of vocational education
## 1130 Upper secondary education Any type of vocational education
## 1131 Upper secondary education Any type of vocational education
## 1132 Upper secondary education Any type of vocational education
## 1133 primary or lower secondary education No vocational education
## 1134 Upper secondary education Any type of vocational education
## 1135 Upper secondary education Any type of vocational education
## 1136 Upper secondary education Any type of vocational education
## 1137 primary or lower secondary education No vocational education
## 1138 Upper secondary education Any type of vocational education
## 1139 Upper secondary education Any type of vocational education
## 1140 Upper secondary education No vocational education
## 1141 Upper secondary education Any type of vocational education
## 1142 Upper secondary education Any type of vocational education
## 1143 primary or lower secondary education Any type of vocational education
## 1144 Upper secondary education Any type of vocational education
## 1145 primary or lower secondary education Any type of vocational education
## 1146 primary or lower secondary education Any type of vocational education
## 1147 Upper secondary education Any type of vocational education
## 1148 primary or lower secondary education Any type of vocational education
## 1149 primary or lower secondary education Any type of vocational education
## 1150 primary or lower secondary education Any type of vocational education
## 1151 primary or lower secondary education Any type of vocational education
## 1152 primary or lower secondary education No vocational education
## 1153 Upper secondary education Any type of vocational education
## 1154 primary or lower secondary education Any type of vocational education
## 1155 primary or lower secondary education Any type of vocational education
## 1156 Upper secondary education No vocational education
## 1157 Upper secondary education Any type of vocational education
## 1158 primary or lower secondary education Any type of vocational education
## 1159 primary or lower secondary education Any type of vocational education
## 1160 Upper secondary education Any type of vocational education
## 1161 Upper secondary education Any type of vocational education
## 1162 Upper secondary education Any type of vocational education
## 1163 primary or lower secondary education Any type of vocational education
## 1164 Upper secondary education No vocational education
## 1165 Upper secondary education Any type of vocational education
## 1166 primary or lower secondary education Any type of vocational education
## 1167 primary or lower secondary education Any type of vocational education
## 1168 Upper secondary education Any type of vocational education
## 1169 Upper secondary education Any type of vocational education
## 1170 Upper secondary education Any type of vocational education
## 1171 Upper secondary education Any type of vocational education
## 1172 Upper secondary education Any type of vocational education
## 1173 primary or lower secondary education Any type of vocational education
## 1174 primary or lower secondary education Any type of vocational education
## 1175 primary or lower secondary education Any type of vocational education
## 1176 Upper secondary education Any type of vocational education
## 1177 primary or lower secondary education Any type of vocational education
## 1178 primary or lower secondary education Any type of vocational education
## 1179 primary or lower secondary education No vocational education
## 1180 Upper secondary education Any type of vocational education
## 1181 Upper secondary education Any type of vocational education
## 1182 primary or lower secondary education Any type of vocational education
## 1183 primary or lower secondary education No vocational education
## 1184 primary or lower secondary education Any type of vocational education
## 1185 primary or lower secondary education Any type of vocational education
## 1186 Upper secondary education Any type of vocational education
## 1187 primary or lower secondary education Any type of vocational education
## 1188 Upper secondary education Any type of vocational education
## 1189 primary or lower secondary education Any type of vocational education
## 1190 primary or lower secondary education Any type of vocational education
## 1191 primary or lower secondary education Any type of vocational education
## 1192 Upper secondary education No vocational education
## 1193 primary or lower secondary education Any type of vocational education
## 1194 primary or lower secondary education Any type of vocational education
## 1195 Upper secondary education Any type of vocational education
## 1196 primary or lower secondary education Any type of vocational education
## 1197 Upper secondary education No vocational education
## 1198 primary or lower secondary education Any type of vocational education
## 1199 primary or lower secondary education No vocational education
## 1200 primary or lower secondary education Any type of vocational education
## 1201 Upper secondary education Any type of vocational education
## 1202 Upper secondary education Any type of vocational education
## 1203 Upper secondary education Any type of vocational education
## 1204 primary or lower secondary education Any type of vocational education
## 1205 primary or lower secondary education Any type of vocational education
## 1206 Upper secondary education Any type of vocational education
## 1207 primary or lower secondary education Any type of vocational education
## 1208 primary or lower secondary education Any type of vocational education
## 1209 primary or lower secondary education Any type of vocational education
## 1210 Upper secondary education Any type of vocational education
## 1211 primary or lower secondary education Any type of vocational education
## 1212 Upper secondary education Any type of vocational education
## 1213 primary or lower secondary education No vocational education
## 1214 Upper secondary education Any type of vocational education
## 1215 Upper secondary education Any type of vocational education
## 1216 Upper secondary education No vocational education
## 1217 Upper secondary education Any type of vocational education
## 1218 Upper secondary education Any type of vocational education
## 1219 primary or lower secondary education Any type of vocational education
## 1220 primary or lower secondary education Any type of vocational education
## 1221 primary or lower secondary education Any type of vocational education
## 1222 Upper secondary education Any type of vocational education
## 1223 primary or lower secondary education No vocational education
## 1224 primary or lower secondary education Any type of vocational education
## 1225 Upper secondary education Any type of vocational education
## 1226 Upper secondary education Any type of vocational education
## 1227 primary or lower secondary education Any type of vocational education
## 1228 Upper secondary education Any type of vocational education
## 1229 Upper secondary education Any type of vocational education
## 1230 Upper secondary education Any type of vocational education
## 1231 Upper secondary education No vocational education
## 1232 primary or lower secondary education Any type of vocational education
## 1233 Upper secondary education Any type of vocational education
## 1234 primary or lower secondary education Any type of vocational education
## 1235 Upper secondary education Any type of vocational education
## 1236 Upper secondary education No vocational education
## 1237 Upper secondary education No vocational education
## 1238 primary or lower secondary education No vocational education
## 1239 Upper secondary education Any type of vocational education
## 1240 Upper secondary education Any type of vocational education
## 1241 Upper secondary education No vocational education
## 1242 Upper secondary education Any type of vocational education
## 1243 Upper secondary education Any type of vocational education
## 1244 primary or lower secondary education Any type of vocational education
## 1245 primary or lower secondary education No vocational education
## 1246 Upper secondary education Any type of vocational education
## 1247 Upper secondary education Any type of vocational education
## 1248 Upper secondary education Any type of vocational education
## 1249 primary or lower secondary education Any type of vocational education
## 1250 Upper secondary education Any type of vocational education
## 1251 primary or lower secondary education Any type of vocational education
## 1252 Upper secondary education Any type of vocational education
## 1253 primary or lower secondary education Any type of vocational education
## 1254 primary or lower secondary education Any type of vocational education
## 1255 primary or lower secondary education Any type of vocational education
## 1256 Upper secondary education Any type of vocational education
## 1257 primary or lower secondary education Any type of vocational education
## 1258 Upper secondary education Any type of vocational education
## 1259 primary or lower secondary education Any type of vocational education
## 1260 primary or lower secondary education Any type of vocational education
## 1261 primary or lower secondary education Any type of vocational education
## 1262 Upper secondary education Any type of vocational education
## 1263 primary or lower secondary education Any type of vocational education
## 1264 primary or lower secondary education Any type of vocational education
## 1265 Upper secondary education Any type of vocational education
## 1266 Upper secondary education Any type of vocational education
## 1267 primary or lower secondary education Any type of vocational education
## 1268 primary or lower secondary education Any type of vocational education
## 1269 Upper secondary education Any type of vocational education
## 1270 primary or lower secondary education Any type of vocational education
## 1271 primary or lower secondary education Any type of vocational education
## 1272 Upper secondary education Any type of vocational education
## 1273 primary or lower secondary education Any type of vocational education
## 1274 primary or lower secondary education No vocational education
## 1275 primary or lower secondary education Any type of vocational education
## 1276 Upper secondary education Any type of vocational education
## 1277 Upper secondary education Any type of vocational education
## 1278 primary or lower secondary education Any type of vocational education
## 1279 Upper secondary education Any type of vocational education
## 1280 Upper secondary education Any type of vocational education
## 1281 primary or lower secondary education Any type of vocational education
## 1282 Upper secondary education Any type of vocational education
## 1283 primary or lower secondary education Any type of vocational education
## 1284 Upper secondary education Any type of vocational education
## 1285 primary or lower secondary education Any type of vocational education
## 1286 Upper secondary education No vocational education
## 1287 Upper secondary education Any type of vocational education
## 1288 primary or lower secondary education Any type of vocational education
## 1289 Upper secondary education Any type of vocational education
## 1290 primary or lower secondary education Any type of vocational education
## 1291 Upper secondary education Any type of vocational education
## 1292 Upper secondary education Any type of vocational education
## 1293 Upper secondary education Any type of vocational education
## 1294 Upper secondary education Any type of vocational education
## 1295 Upper secondary education Any type of vocational education
## 1296 primary or lower secondary education Any type of vocational education
## 1297 Upper secondary education Any type of vocational education
## 1298 Upper secondary education Any type of vocational education
## 1299 Upper secondary education Any type of vocational education
## 1300 Upper secondary education Any type of vocational education
## 1301 Upper secondary education Any type of vocational education
## 1302 Upper secondary education Any type of vocational education
## 1303 Upper secondary education Any type of vocational education
## 1304 Upper secondary education Any type of vocational education
## 1305 Upper secondary education Any type of vocational education
## 1306 Upper secondary education Any type of vocational education
## 1307 Upper secondary education Any type of vocational education
## 1308 primary or lower secondary education Any type of vocational education
## 1309 Upper secondary education Any type of vocational education
## 1310 Upper secondary education Any type of vocational education
## 1311 primary or lower secondary education No vocational education
## 1312 Upper secondary education Any type of vocational education
## 1313 Upper secondary education Any type of vocational education
## 1314 Upper secondary education Any type of vocational education
## 1315 primary or lower secondary education Any type of vocational education
## 1316 Upper secondary education Any type of vocational education
## 1317 primary or lower secondary education Any type of vocational education
## 1318 primary or lower secondary education No vocational education
## 1319 primary or lower secondary education Any type of vocational education
## 1320 Upper secondary education Any type of vocational education
## 1321 primary or lower secondary education Any type of vocational education
## 1322 primary or lower secondary education Any type of vocational education
## 1323 Upper secondary education Any type of vocational education
## 1324 primary or lower secondary education Any type of vocational education
## 1325 Upper secondary education Any type of vocational education
## 1326 primary or lower secondary education Any type of vocational education
## 1327 Upper secondary education Any type of vocational education
## 1328 primary or lower secondary education Any type of vocational education
## 1329 Upper secondary education No vocational education
## 1330 primary or lower secondary education No vocational education
## 1331 Upper secondary education Any type of vocational education
## 1332 Upper secondary education Any type of vocational education
## 1333 primary or lower secondary education Any type of vocational education
## 1334 Upper secondary education Any type of vocational education
## 1335 primary or lower secondary education Any type of vocational education
## 1336 primary or lower secondary education Any type of vocational education
## 1337 primary or lower secondary education Any type of vocational education
## 1338 primary or lower secondary education Any type of vocational education
## 1339 Upper secondary education No vocational education
## 1340 Upper secondary education Any type of vocational education
## 1341 primary or lower secondary education Any type of vocational education
## 1342 Upper secondary education Any type of vocational education
## 1343 primary or lower secondary education Any type of vocational education
## 1344 Upper secondary education Any type of vocational education
## 1345 Upper secondary education Any type of vocational education
## 1346 Upper secondary education No vocational education
## 1347 primary or lower secondary education Any type of vocational education
## 1348 primary or lower secondary education Any type of vocational education
## 1349 Upper secondary education Any type of vocational education
## 1350 Upper secondary education Any type of vocational education
## 1351 Upper secondary education Any type of vocational education
## 1352 Upper secondary education Any type of vocational education
## 1353 Upper secondary education Any type of vocational education
## 1354 Upper secondary education Any type of vocational education
## 1355 Upper secondary education Any type of vocational education
## 1356 Upper secondary education Any type of vocational education
## 1357 Upper secondary education Any type of vocational education
## 1358 Upper secondary education Any type of vocational education
## 1359 primary or lower secondary education Any type of vocational education
## 1360 primary or lower secondary education Any type of vocational education
## 1361 primary or lower secondary education Any type of vocational education
## 1362 primary or lower secondary education Any type of vocational education
## 1363 primary or lower secondary education Any type of vocational education
## 1364 primary or lower secondary education Any type of vocational education
## 1365 primary or lower secondary education Any type of vocational education
## 1366 Upper secondary education Any type of vocational education
## 1367 Upper secondary education No vocational education
## 1368 Upper secondary education Any type of vocational education
## 1369 primary or lower secondary education Any type of vocational education
## 1370 Upper secondary education Any type of vocational education
## 1371 Upper secondary education Any type of vocational education
## 1372 primary or lower secondary education Any type of vocational education
## 1373 Upper secondary education Any type of vocational education
## 1374 primary or lower secondary education Any type of vocational education
## 1375 primary or lower secondary education Any type of vocational education
## 1376 primary or lower secondary education Any type of vocational education
## 1377 primary or lower secondary education Any type of vocational education
## 1378 primary or lower secondary education Any type of vocational education
## 1379 primary or lower secondary education Any type of vocational education
## 1380 primary or lower secondary education Any type of vocational education
## 1381 primary or lower secondary education Any type of vocational education
## 1382 primary or lower secondary education Any type of vocational education
## 1383 Upper secondary education Any type of vocational education
## 1384 primary or lower secondary education Any type of vocational education
## 1385 primary or lower secondary education Any type of vocational education
## 1386 primary or lower secondary education Any type of vocational education
## 1387 primary or lower secondary education Any type of vocational education
## 1388 primary or lower secondary education Any type of vocational education
## 1389 primary or lower secondary education Any type of vocational education
## 1390 Upper secondary education Any type of vocational education
## 1391 Upper secondary education Any type of vocational education
## 1392 Upper secondary education No vocational education
## 1393 primary or lower secondary education Any type of vocational education
## 1394 primary or lower secondary education No vocational education
## 1395 Upper secondary education Any type of vocational education
## 1396 primary or lower secondary education Any type of vocational education
## 1397 primary or lower secondary education Any type of vocational education
## 1398 primary or lower secondary education Any type of vocational education
## 1399 Upper secondary education Any type of vocational education
## 1400 Upper secondary education Any type of vocational education
## 1401 primary or lower secondary education No vocational education
## 1402 primary or lower secondary education Any type of vocational education
## 1403 primary or lower secondary education No vocational education
## 1404 primary or lower secondary education Any type of vocational education
## 1405 Upper secondary education Any type of vocational education
## 1406 Upper secondary education Any type of vocational education
## 1407 Upper secondary education Any type of vocational education
## 1408 primary or lower secondary education Any type of vocational education
## 1409 Upper secondary education Any type of vocational education
## 1410 Upper secondary education Any type of vocational education
## 1411 Upper secondary education Any type of vocational education
## 1412 Upper secondary education Any type of vocational education
## 1413 primary or lower secondary education Any type of vocational education
## 1414 primary or lower secondary education No vocational education
## 1415 primary or lower secondary education No vocational education
## 1416 primary or lower secondary education No vocational education
## 1417 primary or lower secondary education Any type of vocational education
## 1418 Upper secondary education Any type of vocational education
## 1419 primary or lower secondary education Any type of vocational education
## 1420 Upper secondary education Any type of vocational education
## 1421 Upper secondary education Any type of vocational education
## 1422 primary or lower secondary education Any type of vocational education
## 1423 Upper secondary education Any type of vocational education
## 1424 Upper secondary education Any type of vocational education
## 1425 Upper secondary education No vocational education
## 1426 primary or lower secondary education Any type of vocational education
## 1427 Upper secondary education Any type of vocational education
## 1428 primary or lower secondary education Any type of vocational education
## 1429 Upper secondary education Any type of vocational education
## 1430 Upper secondary education Any type of vocational education
## 1431 Upper secondary education Any type of vocational education
## 1432 Upper secondary education Any type of vocational education
## 1433 Upper secondary education Any type of vocational education
## 1434 Upper secondary education No vocational education
## 1435 Upper secondary education Any type of vocational education
## 1436 primary or lower secondary education Any type of vocational education
## 1437 primary or lower secondary education No vocational education
## 1438 primary or lower secondary education Any type of vocational education
## 1439 primary or lower secondary education Any type of vocational education
## 1440 Upper secondary education Any type of vocational education
## 1441 primary or lower secondary education Any type of vocational education
## 1442 Upper secondary education Any type of vocational education
## 1443 Upper secondary education Any type of vocational education
## 1444 Upper secondary education Any type of vocational education
## 1445 primary or lower secondary education Any type of vocational education
## 1446 Upper secondary education Any type of vocational education
## 1447 Upper secondary education Any type of vocational education
## 1448 Upper secondary education Any type of vocational education
## 1449 primary or lower secondary education Any type of vocational education
## 1450 primary or lower secondary education Any type of vocational education
## 1451 Upper secondary education Any type of vocational education
## 1452 Upper secondary education Any type of vocational education
## 1453 primary or lower secondary education Any type of vocational education
## 1454 Upper secondary education Any type of vocational education
## 1455 primary or lower secondary education Any type of vocational education
## 1456 Upper secondary education Any type of vocational education
## 1457 primary or lower secondary education No vocational education
## 1458 primary or lower secondary education Any type of vocational education
## 1459 primary or lower secondary education Any type of vocational education
## 1460 Upper secondary education Any type of vocational education
## 1461 primary or lower secondary education Any type of vocational education
## 1462 Upper secondary education No vocational education
## 1463 Upper secondary education Any type of vocational education
## 1464 primary or lower secondary education Any type of vocational education
## 1465 primary or lower secondary education Any type of vocational education
## 1466 Upper secondary education Any type of vocational education
## 1467 Upper secondary education Any type of vocational education
## 1468 primary or lower secondary education Any type of vocational education
## 1469 Upper secondary education Any type of vocational education
## 1470 primary or lower secondary education Any type of vocational education
## 1471 primary or lower secondary education Any type of vocational education
## 1472 Upper secondary education No vocational education
## 1473 Upper secondary education Any type of vocational education
## 1474 primary or lower secondary education Any type of vocational education
## 1475 Upper secondary education Any type of vocational education
## 1476 primary or lower secondary education Any type of vocational education
## 1477 Upper secondary education No vocational education
## 1478 Upper secondary education Any type of vocational education
## 1479 primary or lower secondary education Any type of vocational education
## 1480 primary or lower secondary education Any type of vocational education
## 1481 primary or lower secondary education Any type of vocational education
## 1482 primary or lower secondary education Any type of vocational education
## 1483 primary or lower secondary education Any type of vocational education
## 1484 primary or lower secondary education No vocational education
## 1485 Upper secondary education Any type of vocational education
## 1486 Upper secondary education Any type of vocational education
## 1487 Upper secondary education Any type of vocational education
## 1488 Upper secondary education Any type of vocational education
## 1489 primary or lower secondary education Any type of vocational education
## 1490 primary or lower secondary education No vocational education
## 1491 primary or lower secondary education Any type of vocational education
## 1492 primary or lower secondary education Any type of vocational education
## 1493 primary or lower secondary education Any type of vocational education
## 1494 Upper secondary education Any type of vocational education
## 1495 primary or lower secondary education Any type of vocational education
## 1496 Upper secondary education Any type of vocational education
## 1497 primary or lower secondary education Any type of vocational education
## 1498 primary or lower secondary education Any type of vocational education
## 1499 Upper secondary education Any type of vocational education
## 1500 Upper secondary education Any type of vocational education
## 1501 Upper secondary education Any type of vocational education
## 1502 primary or lower secondary education Any type of vocational education
## 1503 primary or lower secondary education Any type of vocational education
## 1504 primary or lower secondary education Any type of vocational education
## 1505 primary or lower secondary education No vocational education
## 1506 primary or lower secondary education Any type of vocational education
## 1507 Upper secondary education Any type of vocational education
## 1508 Upper secondary education Any type of vocational education
## 1509 primary or lower secondary education Any type of vocational education
## 1510 primary or lower secondary education Any type of vocational education
## 1511 Upper secondary education Any type of vocational education
## 1512 primary or lower secondary education Any type of vocational education
## 1513 Upper secondary education Any type of vocational education
## 1514 Upper secondary education No vocational education
## 1515 primary or lower secondary education Any type of vocational education
## 1516 Upper secondary education No vocational education
## 1517 primary or lower secondary education No vocational education
## 1518 primary or lower secondary education Any type of vocational education
## 1519 Upper secondary education Any type of vocational education
## 1520 Upper secondary education Any type of vocational education
## 1521 primary or lower secondary education Any type of vocational education
## 1522 Upper secondary education Any type of vocational education
## 1523 Upper secondary education No vocational education
## 1524 primary or lower secondary education Any type of vocational education
## 1525 Upper secondary education Any type of vocational education
## 1526 Upper secondary education No vocational education
## 1527 primary or lower secondary education Any type of vocational education
## 1528 Upper secondary education Any type of vocational education
## 1529 primary or lower secondary education Any type of vocational education
## 1530 primary or lower secondary education Any type of vocational education
## 1531 primary or lower secondary education No vocational education
## 1532 primary or lower secondary education Any type of vocational education
## 1533 Upper secondary education Any type of vocational education
## 1534 Upper secondary education Any type of vocational education
## 1535 primary or lower secondary education Any type of vocational education
## 1536 primary or lower secondary education Any type of vocational education
## 1537 Upper secondary education Any type of vocational education
## 1538 Upper secondary education Any type of vocational education
## 1539 Upper secondary education Any type of vocational education
## 1540 primary or lower secondary education Any type of vocational education
## 1541 Upper secondary education No vocational education
## 1542 primary or lower secondary education Any type of vocational education
## 1543 primary or lower secondary education Any type of vocational education
## 1544 primary or lower secondary education Any type of vocational education
## 1545 primary or lower secondary education Any type of vocational education
## 1546 Upper secondary education Any type of vocational education
## 1547 Upper secondary education No vocational education
## 1548 Upper secondary education Any type of vocational education
## 1549 primary or lower secondary education Any type of vocational education
## 1550 Upper secondary education Any type of vocational education
## 1551 primary or lower secondary education Any type of vocational education
## 1552 primary or lower secondary education Any type of vocational education
## 1553 primary or lower secondary education Any type of vocational education
## 1554 primary or lower secondary education Any type of vocational education
## 1555 primary or lower secondary education Any type of vocational education
## 1556 primary or lower secondary education Any type of vocational education
## 1557 Upper secondary education No vocational education
## 1558 primary or lower secondary education Any type of vocational education
## 1559 primary or lower secondary education Any type of vocational education
## 1560 primary or lower secondary education No vocational education
## 1561 Upper secondary education Any type of vocational education
## 1562 Upper secondary education Any type of vocational education
## 1563 Upper secondary education No vocational education
## 1564 Upper secondary education No vocational education
## 1565 Upper secondary education Any type of vocational education
## 1566 Upper secondary education No vocational education
## 1567 Upper secondary education Any type of vocational education
## 1568 Upper secondary education Any type of vocational education
## 1569 Upper secondary education Any type of vocational education
## 1570 Upper secondary education No vocational education
## 1571 primary or lower secondary education Any type of vocational education
## 1572 Upper secondary education Any type of vocational education
## 1573 primary or lower secondary education Any type of vocational education
## 1574 primary or lower secondary education Any type of vocational education
## 1575 primary or lower secondary education Any type of vocational education
## 1576 Upper secondary education No vocational education
## 1577 primary or lower secondary education Any type of vocational education
## 1578 Upper secondary education Any type of vocational education
## 1579 Upper secondary education No vocational education
## 1580 primary or lower secondary education No vocational education
## 1581 Upper secondary education Any type of vocational education
## 1582 primary or lower secondary education Any type of vocational education
## 1583 primary or lower secondary education Any type of vocational education
## 1584 Upper secondary education Any type of vocational education
## 1585 primary or lower secondary education Any type of vocational education
## 1586 primary or lower secondary education Any type of vocational education
## 1587 primary or lower secondary education Any type of vocational education
## 1588 primary or lower secondary education Any type of vocational education
## 1589 Upper secondary education Any type of vocational education
## 1590 primary or lower secondary education No vocational education
## 1591 Upper secondary education Any type of vocational education
## 1592 Upper secondary education Any type of vocational education
## 1593 primary or lower secondary education Any type of vocational education
## 1594 Upper secondary education No vocational education
## 1595 Upper secondary education Any type of vocational education
## 1596 Upper secondary education Any type of vocational education
## 1597 Upper secondary education Any type of vocational education
## 1598 Upper secondary education Any type of vocational education
## 1599 primary or lower secondary education Any type of vocational education
## 1600 Upper secondary education Any type of vocational education
## 1601 Upper secondary education No vocational education
## 1602 Upper secondary education No vocational education
## 1603 Upper secondary education Any type of vocational education
## 1604 Upper secondary education Any type of vocational education
## 1605 Upper secondary education Any type of vocational education
## 1606 Upper secondary education Any type of vocational education
## 1607 primary or lower secondary education Any type of vocational education
## 1608 Upper secondary education Any type of vocational education
## 1609 primary or lower secondary education Any type of vocational education
## 1610 Upper secondary education Any type of vocational education
## 1611 Upper secondary education Any type of vocational education
## 1612 Upper secondary education Any type of vocational education
## 1613 primary or lower secondary education Any type of vocational education
## 1614 primary or lower secondary education Any type of vocational education
## 1615 Upper secondary education Any type of vocational education
## 1616 Upper secondary education Any type of vocational education
## 1617 Upper secondary education Any type of vocational education
## 1618 Upper secondary education No vocational education
## 1619 Upper secondary education Any type of vocational education
## 1620 Upper secondary education Any type of vocational education
## 1621 primary or lower secondary education Any type of vocational education
## 1622 Upper secondary education Any type of vocational education
## 1623 Upper secondary education Any type of vocational education
## 1624 Upper secondary education No vocational education
## 1625 Upper secondary education No vocational education
## 1626 Upper secondary education Any type of vocational education
## 1627 Upper secondary education Any type of vocational education
## 1628 Upper secondary education Any type of vocational education
## 1629 primary or lower secondary education Any type of vocational education
## 1630 Upper secondary education Any type of vocational education
## 1631 Upper secondary education Any type of vocational education
## 1632 Upper secondary education Any type of vocational education
## 1633 Upper secondary education Any type of vocational education
## 1634 Upper secondary education No vocational education
## 1635 primary or lower secondary education Any type of vocational education
## 1636 Upper secondary education No vocational education
## 1637 primary or lower secondary education Any type of vocational education
## 1638 Upper secondary education Any type of vocational education
## 1639 Upper secondary education No vocational education
## 1640 Upper secondary education Any type of vocational education
## 1641 Upper secondary education Any type of vocational education
## 1642 primary or lower secondary education No vocational education
## 1643 primary or lower secondary education Any type of vocational education
## 1644 Upper secondary education Any type of vocational education
## 1645 Upper secondary education Any type of vocational education
## 1646 Upper secondary education Any type of vocational education
## 1647 Upper secondary education Any type of vocational education
## 1648 Upper secondary education No vocational education
## 1649 Upper secondary education Any type of vocational education
## 1650 Upper secondary education Any type of vocational education
## 1651 Upper secondary education Any type of vocational education
## 1652 Upper secondary education Any type of vocational education
## 1653 Upper secondary education Any type of vocational education
## 1654 Upper secondary education Any type of vocational education
## 1655 Upper secondary education Any type of vocational education
## 1656 Upper secondary education Any type of vocational education
## 1657 Upper secondary education No vocational education
## 1658 primary or lower secondary education No vocational education
## 1659 Upper secondary education No vocational education
## 1660 Upper secondary education No vocational education
## 1661 Upper secondary education Any type of vocational education
## 1662 Upper secondary education No vocational education
## 1663 Upper secondary education Any type of vocational education
## 1664 Upper secondary education Any type of vocational education
## 1665 Upper secondary education Any type of vocational education
## 1666 primary or lower secondary education Any type of vocational education
## 1667 Upper secondary education Any type of vocational education
## 1668 Upper secondary education No vocational education
## 1669 primary or lower secondary education No vocational education
## 1670 Upper secondary education Any type of vocational education
## 1671 Upper secondary education Any type of vocational education
## 1672 Upper secondary education Any type of vocational education
## 1673 Upper secondary education Any type of vocational education
## 1674 Upper secondary education Any type of vocational education
## 1675 Upper secondary education No vocational education
## 1676 Upper secondary education No vocational education
## 1677 primary or lower secondary education No vocational education
## 1678 Upper secondary education Any type of vocational education
## 1679 Upper secondary education Any type of vocational education
## 1680 Upper secondary education Any type of vocational education
## 1681 Upper secondary education Any type of vocational education
## 1682 primary or lower secondary education Any type of vocational education
## 1683 Upper secondary education Any type of vocational education
## 1684 Upper secondary education Any type of vocational education
## 1685 primary or lower secondary education No vocational education
## 1686 Upper secondary education Any type of vocational education
## 1687 Upper secondary education Any type of vocational education
## 1688 Upper secondary education Any type of vocational education
## 1689 Upper secondary education Any type of vocational education
## 1690 primary or lower secondary education Any type of vocational education
## 1691 Upper secondary education Any type of vocational education
## 1692 Upper secondary education Any type of vocational education
## 1693 Upper secondary education Any type of vocational education
## 1694 Upper secondary education Any type of vocational education
## 1695 primary or lower secondary education Any type of vocational education
## 1696 Upper secondary education No vocational education
## 1697 Upper secondary education Any type of vocational education
## 1698 primary or lower secondary education Any type of vocational education
## 1699 Upper secondary education Any type of vocational education
## 1700 Upper secondary education Any type of vocational education
## 1701 Upper secondary education Any type of vocational education
## 1702 Upper secondary education Any type of vocational education
## 1703 Upper secondary education Any type of vocational education
## 1704 primary or lower secondary education No vocational education
## 1705 primary or lower secondary education Any type of vocational education
## 1706 primary or lower secondary education Any type of vocational education
## 1707 Upper secondary education Any type of vocational education
## 1708 Upper secondary education No vocational education
## 1709 primary or lower secondary education No vocational education
## 1710 primary or lower secondary education No vocational education
## 1711 primary or lower secondary education Any type of vocational education
## 1712 Upper secondary education Any type of vocational education
## 1713 primary or lower secondary education Any type of vocational education
## 1714 Upper secondary education No vocational education
## 1715 Upper secondary education Any type of vocational education
## 1716 Upper secondary education Any type of vocational education
## 1717 Upper secondary education Any type of vocational education
## 1718 primary or lower secondary education Any type of vocational education
## 1719 primary or lower secondary education Any type of vocational education
## 1720 primary or lower secondary education Any type of vocational education
## 1721 Upper secondary education Any type of vocational education
## 1722 primary or lower secondary education Any type of vocational education
## 1723 primary or lower secondary education Any type of vocational education
## 1724 Upper secondary education Any type of vocational education
## 1725 Upper secondary education Any type of vocational education
## 1726 primary or lower secondary education Any type of vocational education
## 1727 Upper secondary education No vocational education
## 1728 Upper secondary education No vocational education
## 1729 Upper secondary education Any type of vocational education
## 1730 Upper secondary education Any type of vocational education
## 1731 Upper secondary education Any type of vocational education
## 1732 primary or lower secondary education Any type of vocational education
## 1733 primary or lower secondary education Any type of vocational education
## 1734 Upper secondary education Any type of vocational education
## 1735 primary or lower secondary education Any type of vocational education
## 1736 Upper secondary education Any type of vocational education
## 1737 Upper secondary education Any type of vocational education
## 1738 primary or lower secondary education Any type of vocational education
## 1739 Upper secondary education Any type of vocational education
## 1740 primary or lower secondary education No vocational education
## 1741 Upper secondary education Any type of vocational education
## 1742 Upper secondary education Any type of vocational education
## 1743 Upper secondary education Any type of vocational education
## 1744 primary or lower secondary education No vocational education
## 1745 Upper secondary education No vocational education
## 1746 Upper secondary education No vocational education
## 1747 Upper secondary education No vocational education
## 1748 Upper secondary education Any type of vocational education
## 1749 Upper secondary education Any type of vocational education
## 1750 Upper secondary education Any type of vocational education
## 1751 Upper secondary education Any type of vocational education
## 1752 primary or lower secondary education Any type of vocational education
## 1753 Upper secondary education Any type of vocational education
## 1754 primary or lower secondary education Any type of vocational education
## 1755 Upper secondary education Any type of vocational education
## 1756 Upper secondary education No vocational education
## 1757 Upper secondary education No vocational education
## 1758 Upper secondary education Any type of vocational education
## 1759 primary or lower secondary education No vocational education
## 1760 Upper secondary education Any type of vocational education
## 1761 primary or lower secondary education Any type of vocational education
## 1762 Upper secondary education Any type of vocational education
## 1763 primary or lower secondary education Any type of vocational education
## 1764 primary or lower secondary education No vocational education
## 1765 Upper secondary education No vocational education
## 1766 Upper secondary education No vocational education
## 1767 primary or lower secondary education Any type of vocational education
## 1768 Upper secondary education Any type of vocational education
## 1769 Upper secondary education Any type of vocational education
## 1770 Upper secondary education Any type of vocational education
## 1771 primary or lower secondary education Any type of vocational education
## 1772 Upper secondary education No vocational education
## 1773 Upper secondary education Any type of vocational education
## 1774 Upper secondary education No vocational education
## 1775 Upper secondary education Any type of vocational education
## 1776 Upper secondary education Any type of vocational education
## 1777 Upper secondary education Any type of vocational education
## 1778 Upper secondary education Any type of vocational education
## 1779 Upper secondary education Any type of vocational education
## 1780 Upper secondary education No vocational education
## 1781 Upper secondary education Any type of vocational education
## 1782 Upper secondary education Any type of vocational education
## 1783 Upper secondary education Any type of vocational education
## 1784 Upper secondary education Any type of vocational education
## 1785 Upper secondary education No vocational education
## 1786 primary or lower secondary education Any type of vocational education
## 1787 Upper secondary education Any type of vocational education
## 1788 Upper secondary education Any type of vocational education
## 1789 primary or lower secondary education Any type of vocational education
## 1790 Upper secondary education Any type of vocational education
## 1791 Upper secondary education No vocational education
## 1792 Upper secondary education Any type of vocational education
## 1793 Upper secondary education Any type of vocational education
## 1794 primary or lower secondary education Any type of vocational education
## 1795 Upper secondary education Any type of vocational education
## 1796 Upper secondary education Any type of vocational education
## 1797 Upper secondary education Any type of vocational education
## 1798 primary or lower secondary education Any type of vocational education
## 1799 Upper secondary education Any type of vocational education
## 1800 Upper secondary education No vocational education
## 1801 primary or lower secondary education No vocational education
## 1802 primary or lower secondary education Any type of vocational education
## 1803 Upper secondary education No vocational education
## 1804 Upper secondary education Any type of vocational education
## 1805 Upper secondary education Any type of vocational education
## 1806 primary or lower secondary education No vocational education
## 1807 Upper secondary education Any type of vocational education
## 1808 primary or lower secondary education Any type of vocational education
## 1809 primary or lower secondary education Any type of vocational education
## 1810 Upper secondary education Any type of vocational education
## 1811 Upper secondary education No vocational education
## 1812 primary or lower secondary education Any type of vocational education
## 1813 Upper secondary education Any type of vocational education
## 1814 primary or lower secondary education Any type of vocational education
## 1815 primary or lower secondary education Any type of vocational education
## 1816 Upper secondary education Any type of vocational education
## 1817 Upper secondary education Any type of vocational education
## 1818 primary or lower secondary education No vocational education
## 1819 primary or lower secondary education Any type of vocational education
## 1820 Upper secondary education Any type of vocational education
## 1821 Upper secondary education Any type of vocational education
## 1822 Upper secondary education Any type of vocational education
## 1823 Upper secondary education Any type of vocational education
## 1824 Upper secondary education Any type of vocational education
## 1825 primary or lower secondary education Any type of vocational education
## 1826 Upper secondary education Any type of vocational education
## 1827 primary or lower secondary education Any type of vocational education
## 1828 Upper secondary education Any type of vocational education
## 1829 Upper secondary education Any type of vocational education
## 1830 Upper secondary education Any type of vocational education
## 1831 primary or lower secondary education Any type of vocational education
## 1832 primary or lower secondary education No vocational education
## 1833 Upper secondary education Any type of vocational education
## 1834 Upper secondary education Any type of vocational education
## 1835 Upper secondary education Any type of vocational education
## 1836 primary or lower secondary education Any type of vocational education
## 1837 primary or lower secondary education Any type of vocational education
## 1838 Upper secondary education Any type of vocational education
## 1839 Upper secondary education Any type of vocational education
## 1840 Upper secondary education Any type of vocational education
## 1841 Upper secondary education Any type of vocational education
## 1842 Upper secondary education Any type of vocational education
## 1843 Upper secondary education No vocational education
## 1844 primary or lower secondary education Any type of vocational education
## 1845 Upper secondary education Any type of vocational education
## 1846 Upper secondary education No vocational education
## 1847 Upper secondary education No vocational education
## 1848 Upper secondary education Any type of vocational education
## 1849 Upper secondary education Any type of vocational education
## 1850 primary or lower secondary education Any type of vocational education
## 1851 Upper secondary education No vocational education
## 1852 Upper secondary education Any type of vocational education
## 1853 Upper secondary education Any type of vocational education
## 1854 primary or lower secondary education Any type of vocational education
## 1855 Upper secondary education Any type of vocational education
## 1856 Upper secondary education No vocational education
## 1857 Upper secondary education No vocational education
## 1858 primary or lower secondary education No vocational education
## 1859 primary or lower secondary education Any type of vocational education
## 1860 Upper secondary education Any type of vocational education
## 1861 Upper secondary education Any type of vocational education
## 1862 Upper secondary education Any type of vocational education
## 1863 Upper secondary education No vocational education
## 1864 Upper secondary education Any type of vocational education
## 1865 primary or lower secondary education Any type of vocational education
## 1866 Upper secondary education Any type of vocational education
## 1867 Upper secondary education Any type of vocational education
## 1868 Upper secondary education Any type of vocational education
## 1869 primary or lower secondary education Any type of vocational education
## 1870 Upper secondary education Any type of vocational education
## 1871 Upper secondary education Any type of vocational education
## 1872 Upper secondary education Any type of vocational education
## 1873 Upper secondary education No vocational education
## 1874 Upper secondary education Any type of vocational education
## 1875 Upper secondary education Any type of vocational education
## 1876 primary or lower secondary education Any type of vocational education
## 1877 primary or lower secondary education Any type of vocational education
## 1878 Upper secondary education Any type of vocational education
## 1879 primary or lower secondary education Any type of vocational education
## 1880 primary or lower secondary education Any type of vocational education
## 1881 primary or lower secondary education Any type of vocational education
## 1882 primary or lower secondary education No vocational education
## 1883 Upper secondary education Any type of vocational education
## 1884 primary or lower secondary education No vocational education
## 1885 primary or lower secondary education Any type of vocational education
## 1886 primary or lower secondary education Any type of vocational education
## 1887 primary or lower secondary education No vocational education
## 1888 primary or lower secondary education Any type of vocational education
## 1889 primary or lower secondary education Any type of vocational education
## 1890 Upper secondary education Any type of vocational education
## 1891 Upper secondary education No vocational education
## 1892 primary or lower secondary education Any type of vocational education
## 1893 Upper secondary education Any type of vocational education
## 1894 primary or lower secondary education Any type of vocational education
## 1895 Upper secondary education Any type of vocational education
## 1896 primary or lower secondary education Any type of vocational education
## 1897 Upper secondary education No vocational education
## 1898 Upper secondary education Any type of vocational education
## 1899 Upper secondary education Any type of vocational education
## 1900 Upper secondary education Any type of vocational education
## 1901 Upper secondary education Any type of vocational education
## 1902 Upper secondary education Any type of vocational education
## 1903 Upper secondary education Any type of vocational education
## 1904 primary or lower secondary education Any type of vocational education
## 1905 primary or lower secondary education Any type of vocational education
## 1906 Upper secondary education No vocational education
## 1907 primary or lower secondary education No vocational education
## 1908 Upper secondary education Any type of vocational education
## 1909 Upper secondary education Any type of vocational education
## 1910 primary or lower secondary education Any type of vocational education
## 1911 primary or lower secondary education Any type of vocational education
## 1912 primary or lower secondary education Any type of vocational education
## 1913 Upper secondary education Any type of vocational education
## 1914 primary or lower secondary education Any type of vocational education
## 1915 Upper secondary education Any type of vocational education
## 1916 primary or lower secondary education Any type of vocational education
## 1917 primary or lower secondary education Any type of vocational education
## 1918 primary or lower secondary education Any type of vocational education
## 1919 Upper secondary education Any type of vocational education
## 1920 primary or lower secondary education Any type of vocational education
## 1921 Upper secondary education No vocational education
## 1922 Upper secondary education Any type of vocational education
## 1923 primary or lower secondary education Any type of vocational education
## 1924 Upper secondary education Any type of vocational education
## 1925 Upper secondary education Any type of vocational education
## 1926 Upper secondary education Any type of vocational education
## 1927 Upper secondary education No vocational education
## 1928 Upper secondary education No vocational education
## 1929 Upper secondary education No vocational education
## 1930 primary or lower secondary education No vocational education
## 1931 Upper secondary education Any type of vocational education
## 1932 primary or lower secondary education No vocational education
## 1933 primary or lower secondary education Any type of vocational education
## 1934 primary or lower secondary education No vocational education
## 1935 Upper secondary education Any type of vocational education
## 1936 primary or lower secondary education No vocational education
## 1937 primary or lower secondary education Any type of vocational education
## 1938 primary or lower secondary education Any type of vocational education
## social_class_enter househould_income_enter
## 1 Middle class 10,000 - 20,000 euros/year
## 2 Upper middle or upper class Over 90,000 euros/year
## 3 Middle class 50,001 - 60,000 euros/year
## 4 Working class 50,001 - 60,000 euros/year
## 5 Do not belong to any class 70,001 - 80,000 euros/year
## 6 Upper middle or upper class Over 90,000 euros/year
## 7 Do not belong to any class 40,001 - 50,000 euros/year
## 8 Do not belong to any class 60,001 - 70,000 euros/year
## 9 Lower middle class 50,001 - 60,000 euros/year
## 10 Working class 70,001 - 80,000 euros/year
## 11 Middle class 50,001 - 60,000 euros/year
## 12 Middle class 60,001 - 70,000 euros/year
## 13 Working class 30,001 - 40,000 euros/year
## 14 Middle class 50,001 - 60,000 euros/year
## 15 Working class <NA>
## 16 Middle class 40,001 - 50,000 euros/year
## 17 Middle class 40,001 - 50,000 euros/year
## 18 Middle class 40,001 - 50,000 euros/year
## 19 Middle class 80,001 - 90,000 euros/year
## 20 Do not belong to any class <NA>
## 21 Upper middle or upper class Over 90,000 euros/year
## 22 Middle class 50,001 - 60,000 euros/year
## 23 Upper middle or upper class 80,001 - 90,000 euros/year
## 24 Middle class 40,001 - 50,000 euros/year
## 25 Upper middle or upper class Over 90,000 euros/year
## 26 Working class Under 10,000 euros/year
## 27 Middle class 30,001 - 40,000 euros/year
## 28 Middle class <NA>
## 29 Lower middle class Under 10,000 euros/year
## 30 Middle class 10,000 - 20,000 euros/year
## 31 Upper middle or upper class Over 90,000 euros/year
## 32 Upper middle or upper class Over 90,000 euros/year
## 33 Working class <NA>
## 34 Middle class 50,001 - 60,000 euros/year
## 35 Upper middle or upper class Over 90,000 euros/year
## 36 Do not belong to any class 20,001 - 30,000 euros/year
## 37 Lower middle class 30,001 - 40,000 euros/year
## 38 Middle class 40,001 - 50,000 euros/year
## 39 Upper middle or upper class 50,001 - 60,000 euros/year
## 40 Working class Over 90,000 euros/year
## 41 Upper middle or upper class 10,000 - 20,000 euros/year
## 42 Middle class 30,001 - 40,000 euros/year
## 43 Working class 30,001 - 40,000 euros/year
## 44 Middle class 70,001 - 80,000 euros/year
## 45 Lower middle class 20,001 - 30,000 euros/year
## 46 Working class 40,001 - 50,000 euros/year
## 47 Middle class 80,001 - 90,000 euros/year
## 48 Middle class 40,001 - 50,000 euros/year
## 49 Lower middle class 80,001 - 90,000 euros/year
## 50 Middle class 30,001 - 40,000 euros/year
## 51 Middle class 60,001 - 70,000 euros/year
## 52 Upper middle or upper class Over 90,000 euros/year
## 53 Middle class 40,001 - 50,000 euros/year
## 54 Working class 30,001 - 40,000 euros/year
## 55 Working class 30,001 - 40,000 euros/year
## 56 Do not belong to any class 50,001 - 60,000 euros/year
## 57 Lower middle class 40,001 - 50,000 euros/year
## 58 Working class 30,001 - 40,000 euros/year
## 59 Middle class 80,001 - 90,000 euros/year
## 60 Middle class <NA>
## 61 Middle class 80,001 - 90,000 euros/year
## 62 Middle class Over 90,000 euros/year
## 63 Upper middle or upper class 50,001 - 60,000 euros/year
## 64 Do not belong to any class Under 10,000 euros/year
## 65 Middle class 40,001 - 50,000 euros/year
## 66 Lower middle class <NA>
## 67 Upper middle or upper class 50,001 - 60,000 euros/year
## 68 Working class 60,001 - 70,000 euros/year
## 69 Middle class Under 10,000 euros/year
## 70 Lower middle class 20,001 - 30,000 euros/year
## 71 Working class 40,001 - 50,000 euros/year
## 72 Lower middle class 70,001 - 80,000 euros/year
## 73 Middle class 60,001 - 70,000 euros/year
## 74 Middle class 40,001 - 50,000 euros/year
## 75 Working class 30,001 - 40,000 euros/year
## 76 Working class 30,001 - 40,000 euros/year
## 77 Middle class 30,001 - 40,000 euros/year
## 78 Middle class Over 90,000 euros/year
## 79 Middle class 20,001 - 30,000 euros/year
## 80 Working class 20,001 - 30,000 euros/year
## 81 Do not belong to any class 20,001 - 30,000 euros/year
## 82 Middle class 20,001 - 30,000 euros/year
## 83 Do not belong to any class Under 10,000 euros/year
## 84 Do not belong to any class 50,001 - 60,000 euros/year
## 85 Middle class Over 90,000 euros/year
## 86 Do not belong to any class Under 10,000 euros/year
## 87 Working class 20,001 - 30,000 euros/year
## 88 Middle class 40,001 - 50,000 euros/year
## 89 Lower middle class 50,001 - 60,000 euros/year
## 90 Do not belong to any class 20,001 - 30,000 euros/year
## 91 Do not belong to any class Under 10,000 euros/year
## 92 Upper middle or upper class 80,001 - 90,000 euros/year
## 93 Lower middle class 70,001 - 80,000 euros/year
## 94 Middle class 50,001 - 60,000 euros/year
## 95 Middle class Under 10,000 euros/year
## 96 Upper middle or upper class 70,001 - 80,000 euros/year
## 97 Upper middle or upper class 50,001 - 60,000 euros/year
## 98 Working class 70,001 - 80,000 euros/year
## 99 Working class 50,001 - 60,000 euros/year
## 100 Upper middle or upper class <NA>
## 101 Middle class 40,001 - 50,000 euros/year
## 102 Upper middle or upper class 60,001 - 70,000 euros/year
## 103 Middle class 30,001 - 40,000 euros/year
## 104 Middle class 40,001 - 50,000 euros/year
## 105 Working class 40,001 - 50,000 euros/year
## 106 Middle class 60,001 - 70,000 euros/year
## 107 Upper middle or upper class Over 90,000 euros/year
## 108 Working class 70,001 - 80,000 euros/year
## 109 Do not belong to any class 10,000 - 20,000 euros/year
## 110 Middle class 50,001 - 60,000 euros/year
## 111 Middle class 60,001 - 70,000 euros/year
## 112 Working class 40,001 - 50,000 euros/year
## 113 Upper middle or upper class 40,001 - 50,000 euros/year
## 114 Do not belong to any class 30,001 - 40,000 euros/year
## 115 Upper middle or upper class 40,001 - 50,000 euros/year
## 116 Middle class 60,001 - 70,000 euros/year
## 117 Working class <NA>
## 118 Middle class 70,001 - 80,000 euros/year
## 119 Lower middle class <NA>
## 120 Lower middle class 40,001 - 50,000 euros/year
## 121 Middle class 40,001 - 50,000 euros/year
## 122 Middle class 60,001 - 70,000 euros/year
## 123 Middle class 60,001 - 70,000 euros/year
## 124 Do not belong to any class 30,001 - 40,000 euros/year
## 125 Upper middle or upper class Over 90,000 euros/year
## 126 Do not belong to any class 20,001 - 30,000 euros/year
## 127 Middle class 50,001 - 60,000 euros/year
## 128 Middle class 40,001 - 50,000 euros/year
## 129 Working class 60,001 - 70,000 euros/year
## 130 Working class Under 10,000 euros/year
## 131 Working class 50,001 - 60,000 euros/year
## 132 Middle class <NA>
## 133 Do not belong to any class 50,001 - 60,000 euros/year
## 134 Upper middle or upper class Over 90,000 euros/year
## 135 Lower middle class 20,001 - 30,000 euros/year
## 136 Lower middle class 30,001 - 40,000 euros/year
## 137 Middle class 70,001 - 80,000 euros/year
## 138 Middle class 80,001 - 90,000 euros/year
## 139 Do not belong to any class 60,001 - 70,000 euros/year
## 140 Middle class 30,001 - 40,000 euros/year
## 141 Middle class 10,000 - 20,000 euros/year
## 142 Do not belong to any class Under 10,000 euros/year
## 143 Lower middle class 20,001 - 30,000 euros/year
## 144 Middle class 50,001 - 60,000 euros/year
## 145 Lower middle class 30,001 - 40,000 euros/year
## 146 Working class 20,001 - 30,000 euros/year
## 147 Middle class 40,001 - 50,000 euros/year
## 148 Middle class 20,001 - 30,000 euros/year
## 149 Working class 20,001 - 30,000 euros/year
## 150 Lower middle class 10,000 - 20,000 euros/year
## 151 Working class 30,001 - 40,000 euros/year
## 152 Working class 10,000 - 20,000 euros/year
## 153 Working class 50,001 - 60,000 euros/year
## 154 Working class 10,000 - 20,000 euros/year
## 155 Working class 50,001 - 60,000 euros/year
## 156 Do not belong to any class Under 10,000 euros/year
## 157 Lower middle class <NA>
## 158 Middle class 30,001 - 40,000 euros/year
## 159 Do not belong to any class 30,001 - 40,000 euros/year
## 160 Middle class 60,001 - 70,000 euros/year
## 161 Do not belong to any class 20,001 - 30,000 euros/year
## 162 Upper middle or upper class Over 90,000 euros/year
## 163 Upper middle or upper class 70,001 - 80,000 euros/year
## 164 Do not belong to any class 40,001 - 50,000 euros/year
## 165 Working class 20,001 - 30,000 euros/year
## 166 Lower middle class 40,001 - 50,000 euros/year
## 167 Middle class 50,001 - 60,000 euros/year
## 168 Do not belong to any class Over 90,000 euros/year
## 169 Middle class 50,001 - 60,000 euros/year
## 170 Do not belong to any class 80,001 - 90,000 euros/year
## 171 Lower middle class 50,001 - 60,000 euros/year
## 172 Middle class <NA>
## 173 Lower middle class 30,001 - 40,000 euros/year
## 174 Working class 30,001 - 40,000 euros/year
## 175 Working class 50,001 - 60,000 euros/year
## 176 Lower middle class 40,001 - 50,000 euros/year
## 177 Do not belong to any class 30,001 - 40,000 euros/year
## 178 Middle class 70,001 - 80,000 euros/year
## 179 Middle class 40,001 - 50,000 euros/year
## 180 Do not belong to any class 20,001 - 30,000 euros/year
## 181 Working class Under 10,000 euros/year
## 182 Middle class 30,001 - 40,000 euros/year
## 183 Do not belong to any class 20,001 - 30,000 euros/year
## 184 Lower middle class 30,001 - 40,000 euros/year
## 185 Working class 30,001 - 40,000 euros/year
## 186 Upper middle or upper class 60,001 - 70,000 euros/year
## 187 Do not belong to any class Over 90,000 euros/year
## 188 Do not belong to any class 20,001 - 30,000 euros/year
## 189 Middle class 40,001 - 50,000 euros/year
## 190 Middle class 20,001 - 30,000 euros/year
## 191 Middle class <NA>
## 192 Do not belong to any class <NA>
## 193 Lower middle class 40,001 - 50,000 euros/year
## 194 Do not belong to any class 50,001 - 60,000 euros/year
## 195 Working class Under 10,000 euros/year
## 196 Middle class 30,001 - 40,000 euros/year
## 197 Working class 30,001 - 40,000 euros/year
## 198 Do not belong to any class <NA>
## 199 Upper middle or upper class Over 90,000 euros/year
## 200 Working class 70,001 - 80,000 euros/year
## 201 Lower middle class 30,001 - 40,000 euros/year
## 202 Working class 10,000 - 20,000 euros/year
## 203 Upper middle or upper class 40,001 - 50,000 euros/year
## 204 Lower middle class 30,001 - 40,000 euros/year
## 205 Lower middle class Under 10,000 euros/year
## 206 Middle class 60,001 - 70,000 euros/year
## 207 Lower middle class 70,001 - 80,000 euros/year
## 208 Upper middle or upper class 80,001 - 90,000 euros/year
## 209 Do not belong to any class 10,000 - 20,000 euros/year
## 210 Do not belong to any class 10,000 - 20,000 euros/year
## 211 Lower middle class <NA>
## 212 Middle class 60,001 - 70,000 euros/year
## 213 Upper middle or upper class Over 90,000 euros/year
## 214 Do not belong to any class 40,001 - 50,000 euros/year
## 215 Upper middle or upper class 30,001 - 40,000 euros/year
## 216 Do not belong to any class 50,001 - 60,000 euros/year
## 217 Middle class <NA>
## 218 Middle class 20,001 - 30,000 euros/year
## 219 Middle class 40,001 - 50,000 euros/year
## 220 Middle class 10,000 - 20,000 euros/year
## 221 Middle class 50,001 - 60,000 euros/year
## 222 Working class 30,001 - 40,000 euros/year
## 223 Do not belong to any class 20,001 - 30,000 euros/year
## 224 Working class 50,001 - 60,000 euros/year
## 225 Middle class 50,001 - 60,000 euros/year
## 226 Upper middle or upper class 40,001 - 50,000 euros/year
## 227 Lower middle class 50,001 - 60,000 euros/year
## 228 Upper middle or upper class 10,000 - 20,000 euros/year
## 229 Working class 10,000 - 20,000 euros/year
## 230 Do not belong to any class 50,001 - 60,000 euros/year
## 231 Middle class <NA>
## 232 Working class 50,001 - 60,000 euros/year
## 233 Lower middle class Over 90,000 euros/year
## 234 Middle class 10,000 - 20,000 euros/year
## 235 Middle class 10,000 - 20,000 euros/year
## 236 Middle class 60,001 - 70,000 euros/year
## 237 Middle class 50,001 - 60,000 euros/year
## 238 Middle class 50,001 - 60,000 euros/year
## 239 Middle class 30,001 - 40,000 euros/year
## 240 Middle class 20,001 - 30,000 euros/year
## 241 Lower middle class 10,000 - 20,000 euros/year
## 242 Middle class Over 90,000 euros/year
## 243 Do not belong to any class 50,001 - 60,000 euros/year
## 244 Upper middle or upper class Over 90,000 euros/year
## 245 Middle class 50,001 - 60,000 euros/year
## 246 Middle class Under 10,000 euros/year
## 247 Working class 30,001 - 40,000 euros/year
## 248 Upper middle or upper class 80,001 - 90,000 euros/year
## 249 Do not belong to any class 40,001 - 50,000 euros/year
## 250 Do not belong to any class <NA>
## 251 Lower middle class 20,001 - 30,000 euros/year
## 252 Middle class 50,001 - 60,000 euros/year
## 253 Upper middle or upper class Over 90,000 euros/year
## 254 Working class 60,001 - 70,000 euros/year
## 255 Middle class 60,001 - 70,000 euros/year
## 256 Middle class 30,001 - 40,000 euros/year
## 257 Lower middle class 30,001 - 40,000 euros/year
## 258 Working class 10,000 - 20,000 euros/year
## 259 Lower middle class 30,001 - 40,000 euros/year
## 260 Working class 40,001 - 50,000 euros/year
## 261 Middle class Over 90,000 euros/year
## 262 Middle class 60,001 - 70,000 euros/year
## 263 Working class 10,000 - 20,000 euros/year
## 264 Middle class 80,001 - 90,000 euros/year
## 265 Middle class 40,001 - 50,000 euros/year
## 266 Middle class 20,001 - 30,000 euros/year
## 267 Upper middle or upper class 40,001 - 50,000 euros/year
## 268 Lower middle class 40,001 - 50,000 euros/year
## 269 Do not belong to any class 20,001 - 30,000 euros/year
## 270 Working class 20,001 - 30,000 euros/year
## 271 Do not belong to any class <NA>
## 272 Working class 50,001 - 60,000 euros/year
## 273 Middle class 40,001 - 50,000 euros/year
## 274 Working class 40,001 - 50,000 euros/year
## 275 Do not belong to any class 10,000 - 20,000 euros/year
## 276 Do not belong to any class <NA>
## 277 Working class 30,001 - 40,000 euros/year
## 278 Working class 10,000 - 20,000 euros/year
## 279 Middle class Over 90,000 euros/year
## 280 Middle class 40,001 - 50,000 euros/year
## 281 Middle class 50,001 - 60,000 euros/year
## 282 Working class 30,001 - 40,000 euros/year
## 283 Do not belong to any class 40,001 - 50,000 euros/year
## 284 Working class 50,001 - 60,000 euros/year
## 285 Lower middle class 10,000 - 20,000 euros/year
## 286 Working class <NA>
## 287 Middle class 60,001 - 70,000 euros/year
## 288 Lower middle class Under 10,000 euros/year
## 289 Middle class 50,001 - 60,000 euros/year
## 290 Lower middle class 50,001 - 60,000 euros/year
## 291 Middle class 30,001 - 40,000 euros/year
## 292 Do not belong to any class 40,001 - 50,000 euros/year
## 293 Middle class 70,001 - 80,000 euros/year
## 294 Working class Under 10,000 euros/year
## 295 Lower middle class 20,001 - 30,000 euros/year
## 296 Middle class 30,001 - 40,000 euros/year
## 297 Working class 20,001 - 30,000 euros/year
## 298 Lower middle class 30,001 - 40,000 euros/year
## 299 Lower middle class 20,001 - 30,000 euros/year
## 300 Upper middle or upper class 40,001 - 50,000 euros/year
## 301 Do not belong to any class 10,000 - 20,000 euros/year
## 302 Middle class Over 90,000 euros/year
## 303 Upper middle or upper class 30,001 - 40,000 euros/year
## 304 Lower middle class 50,001 - 60,000 euros/year
## 305 Middle class 10,000 - 20,000 euros/year
## 306 Do not belong to any class 30,001 - 40,000 euros/year
## 307 Upper middle or upper class <NA>
## 308 Do not belong to any class <NA>
## 309 Working class 30,001 - 40,000 euros/year
## 310 Working class 20,001 - 30,000 euros/year
## 311 Middle class 40,001 - 50,000 euros/year
## 312 Upper middle or upper class 60,001 - 70,000 euros/year
## 313 Do not belong to any class <NA>
## 314 Middle class 30,001 - 40,000 euros/year
## 315 Middle class 20,001 - 30,000 euros/year
## 316 Middle class 30,001 - 40,000 euros/year
## 317 Middle class 50,001 - 60,000 euros/year
## 318 Working class 10,000 - 20,000 euros/year
## 319 Working class 40,001 - 50,000 euros/year
## 320 Do not belong to any class 10,000 - 20,000 euros/year
## 321 Do not belong to any class 30,001 - 40,000 euros/year
## 322 Middle class 40,001 - 50,000 euros/year
## 323 Working class 10,000 - 20,000 euros/year
## 324 Middle class 70,001 - 80,000 euros/year
## 325 Lower middle class 30,001 - 40,000 euros/year
## 326 Middle class 20,001 - 30,000 euros/year
## 327 Working class 10,000 - 20,000 euros/year
## 328 Middle class 40,001 - 50,000 euros/year
## 329 Working class 20,001 - 30,000 euros/year
## 330 Working class 20,001 - 30,000 euros/year
## 331 Middle class 30,001 - 40,000 euros/year
## 332 Do not belong to any class 30,001 - 40,000 euros/year
## 333 Middle class 50,001 - 60,000 euros/year
## 334 Middle class 80,001 - 90,000 euros/year
## 335 Upper middle or upper class 20,001 - 30,000 euros/year
## 336 Upper middle or upper class 50,001 - 60,000 euros/year
## 337 Working class 60,001 - 70,000 euros/year
## 338 Lower middle class 10,000 - 20,000 euros/year
## 339 Lower middle class 50,001 - 60,000 euros/year
## 340 Working class 40,001 - 50,000 euros/year
## 341 Lower middle class 60,001 - 70,000 euros/year
## 342 Middle class 60,001 - 70,000 euros/year
## 343 Do not belong to any class 50,001 - 60,000 euros/year
## 344 Do not belong to any class 50,001 - 60,000 euros/year
## 345 Lower middle class <NA>
## 346 Do not belong to any class 30,001 - 40,000 euros/year
## 347 Do not belong to any class 30,001 - 40,000 euros/year
## 348 Middle class 80,001 - 90,000 euros/year
## 349 Working class 20,001 - 30,000 euros/year
## 350 Lower middle class <NA>
## 351 Upper middle or upper class 70,001 - 80,000 euros/year
## 352 Working class 40,001 - 50,000 euros/year
## 353 Working class <NA>
## 354 Middle class 30,001 - 40,000 euros/year
## 355 Lower middle class 10,000 - 20,000 euros/year
## 356 Middle class 40,001 - 50,000 euros/year
## 357 Middle class 70,001 - 80,000 euros/year
## 358 Upper middle or upper class 70,001 - 80,000 euros/year
## 359 Do not belong to any class 30,001 - 40,000 euros/year
## 360 Middle class 50,001 - 60,000 euros/year
## 361 Upper middle or upper class Over 90,000 euros/year
## 362 Working class 20,001 - 30,000 euros/year
## 363 Middle class 20,001 - 30,000 euros/year
## 364 Middle class 40,001 - 50,000 euros/year
## 365 Middle class 20,001 - 30,000 euros/year
## 366 Working class 60,001 - 70,000 euros/year
## 367 Working class 70,001 - 80,000 euros/year
## 368 Middle class 60,001 - 70,000 euros/year
## 369 Middle class 50,001 - 60,000 euros/year
## 370 Middle class 60,001 - 70,000 euros/year
## 371 Middle class 50,001 - 60,000 euros/year
## 372 Middle class 50,001 - 60,000 euros/year
## 373 Lower middle class 10,000 - 20,000 euros/year
## 374 Middle class Over 90,000 euros/year
## 375 Do not belong to any class 20,001 - 30,000 euros/year
## 376 Do not belong to any class 20,001 - 30,000 euros/year
## 377 Do not belong to any class 10,000 - 20,000 euros/year
## 378 Upper middle or upper class <NA>
## 379 Working class Over 90,000 euros/year
## 380 Upper middle or upper class Over 90,000 euros/year
## 381 Working class Under 10,000 euros/year
## 382 Middle class 50,001 - 60,000 euros/year
## 383 Middle class 50,001 - 60,000 euros/year
## 384 Working class 20,001 - 30,000 euros/year
## 385 Lower middle class 40,001 - 50,000 euros/year
## 386 Do not belong to any class 20,001 - 30,000 euros/year
## 387 Middle class 30,001 - 40,000 euros/year
## 388 Lower middle class 20,001 - 30,000 euros/year
## 389 Do not belong to any class 30,001 - 40,000 euros/year
## 390 Working class <NA>
## 391 Middle class 70,001 - 80,000 euros/year
## 392 Middle class 60,001 - 70,000 euros/year
## 393 Middle class 30,001 - 40,000 euros/year
## 394 Do not belong to any class 40,001 - 50,000 euros/year
## 395 Working class 30,001 - 40,000 euros/year
## 396 Working class 30,001 - 40,000 euros/year
## 397 Lower middle class 30,001 - 40,000 euros/year
## 398 Middle class Over 90,000 euros/year
## 399 Middle class 80,001 - 90,000 euros/year
## 400 Do not belong to any class 60,001 - 70,000 euros/year
## 401 Middle class 20,001 - 30,000 euros/year
## 402 Do not belong to any class 60,001 - 70,000 euros/year
## 403 Working class 40,001 - 50,000 euros/year
## 404 Do not belong to any class 70,001 - 80,000 euros/year
## 405 Middle class 30,001 - 40,000 euros/year
## 406 Lower middle class Under 10,000 euros/year
## 407 Working class 50,001 - 60,000 euros/year
## 408 Middle class 60,001 - 70,000 euros/year
## 409 Middle class 20,001 - 30,000 euros/year
## 410 Middle class Under 10,000 euros/year
## 411 Working class 30,001 - 40,000 euros/year
## 412 Working class Under 10,000 euros/year
## 413 Middle class Under 10,000 euros/year
## 414 Middle class 20,001 - 30,000 euros/year
## 415 Upper middle or upper class Over 90,000 euros/year
## 416 Working class 10,000 - 20,000 euros/year
## 417 Upper middle or upper class 40,001 - 50,000 euros/year
## 418 Upper middle or upper class 60,001 - 70,000 euros/year
## 419 Lower middle class 20,001 - 30,000 euros/year
## 420 Middle class 70,001 - 80,000 euros/year
## 421 Middle class 30,001 - 40,000 euros/year
## 422 Middle class <NA>
## 423 Middle class 40,001 - 50,000 euros/year
## 424 Lower middle class <NA>
## 425 Do not belong to any class 40,001 - 50,000 euros/year
## 426 Working class 40,001 - 50,000 euros/year
## 427 Do not belong to any class 40,001 - 50,000 euros/year
## 428 Working class 20,001 - 30,000 euros/year
## 429 Upper middle or upper class Over 90,000 euros/year
## 430 Working class 30,001 - 40,000 euros/year
## 431 Middle class 30,001 - 40,000 euros/year
## 432 Do not belong to any class Under 10,000 euros/year
## 433 Middle class 60,001 - 70,000 euros/year
## 434 Upper middle or upper class 60,001 - 70,000 euros/year
## 435 Upper middle or upper class Under 10,000 euros/year
## 436 Middle class 40,001 - 50,000 euros/year
## 437 Upper middle or upper class 60,001 - 70,000 euros/year
## 438 Middle class 20,001 - 30,000 euros/year
## 439 Middle class 40,001 - 50,000 euros/year
## 440 Working class 20,001 - 30,000 euros/year
## 441 Working class 40,001 - 50,000 euros/year
## 442 Working class 40,001 - 50,000 euros/year
## 443 Working class 10,000 - 20,000 euros/year
## 444 Lower middle class 30,001 - 40,000 euros/year
## 445 Middle class 30,001 - 40,000 euros/year
## 446 Middle class 80,001 - 90,000 euros/year
## 447 Middle class 70,001 - 80,000 euros/year
## 448 Do not belong to any class 30,001 - 40,000 euros/year
## 449 Upper middle or upper class 60,001 - 70,000 euros/year
## 450 Lower middle class 20,001 - 30,000 euros/year
## 451 Working class 20,001 - 30,000 euros/year
## 452 Working class 30,001 - 40,000 euros/year
## 453 Do not belong to any class 50,001 - 60,000 euros/year
## 454 Working class <NA>
## 455 Do not belong to any class 10,000 - 20,000 euros/year
## 456 Middle class <NA>
## 457 Do not belong to any class 30,001 - 40,000 euros/year
## 458 Do not belong to any class <NA>
## 459 Do not belong to any class 30,001 - 40,000 euros/year
## 460 Upper middle or upper class 80,001 - 90,000 euros/year
## 461 Upper middle or upper class 40,001 - 50,000 euros/year
## 462 Upper middle or upper class 50,001 - 60,000 euros/year
## 463 Middle class 50,001 - 60,000 euros/year
## 464 Do not belong to any class <NA>
## 465 Middle class 80,001 - 90,000 euros/year
## 466 Working class 60,001 - 70,000 euros/year
## 467 Middle class 30,001 - 40,000 euros/year
## 468 Do not belong to any class Under 10,000 euros/year
## 469 Do not belong to any class Under 10,000 euros/year
## 470 Do not belong to any class 40,001 - 50,000 euros/year
## 471 Working class 40,001 - 50,000 euros/year
## 472 Middle class 30,001 - 40,000 euros/year
## 473 Middle class 70,001 - 80,000 euros/year
## 474 Lower middle class 20,001 - 30,000 euros/year
## 475 Working class 30,001 - 40,000 euros/year
## 476 Middle class 80,001 - 90,000 euros/year
## 477 Do not belong to any class 50,001 - 60,000 euros/year
## 478 Middle class 70,001 - 80,000 euros/year
## 479 Do not belong to any class Under 10,000 euros/year
## 480 Middle class 80,001 - 90,000 euros/year
## 481 Middle class 30,001 - 40,000 euros/year
## 482 Upper middle or upper class 30,001 - 40,000 euros/year
## 483 Do not belong to any class 20,001 - 30,000 euros/year
## 484 Lower middle class 30,001 - 40,000 euros/year
## 485 Lower middle class 30,001 - 40,000 euros/year
## 486 Upper middle or upper class Over 90,000 euros/year
## 487 Lower middle class 50,001 - 60,000 euros/year
## 488 Middle class 60,001 - 70,000 euros/year
## 489 Lower middle class 20,001 - 30,000 euros/year
## 490 Upper middle or upper class 70,001 - 80,000 euros/year
## 491 Upper middle or upper class 50,001 - 60,000 euros/year
## 492 Middle class <NA>
## 493 Do not belong to any class 20,001 - 30,000 euros/year
## 494 Lower middle class 40,001 - 50,000 euros/year
## 495 Working class 10,000 - 20,000 euros/year
## 496 Working class 20,001 - 30,000 euros/year
## 497 Working class 20,001 - 30,000 euros/year
## 498 Working class Under 10,000 euros/year
## 499 Middle class 80,001 - 90,000 euros/year
## 500 Upper middle or upper class 30,001 - 40,000 euros/year
## 501 Middle class 30,001 - 40,000 euros/year
## 502 Middle class 20,001 - 30,000 euros/year
## 503 Upper middle or upper class 50,001 - 60,000 euros/year
## 504 Middle class 10,000 - 20,000 euros/year
## 505 Middle class <NA>
## 506 Do not belong to any class 20,001 - 30,000 euros/year
## 507 Middle class Over 90,000 euros/year
## 508 Upper middle or upper class <NA>
## 509 Working class 50,001 - 60,000 euros/year
## 510 Middle class Under 10,000 euros/year
## 511 Lower middle class 20,001 - 30,000 euros/year
## 512 Working class 10,000 - 20,000 euros/year
## 513 Middle class <NA>
## 514 Working class 20,001 - 30,000 euros/year
## 515 Middle class 30,001 - 40,000 euros/year
## 516 Do not belong to any class 60,001 - 70,000 euros/year
## 517 Middle class 70,001 - 80,000 euros/year
## 518 Working class 50,001 - 60,000 euros/year
## 519 Middle class 40,001 - 50,000 euros/year
## 520 Lower middle class 60,001 - 70,000 euros/year
## 521 Lower middle class 50,001 - 60,000 euros/year
## 522 Lower middle class 40,001 - 50,000 euros/year
## 523 Upper middle or upper class 50,001 - 60,000 euros/year
## 524 Upper middle or upper class 60,001 - 70,000 euros/year
## 525 Working class Under 10,000 euros/year
## 526 Middle class 40,001 - 50,000 euros/year
## 527 Do not belong to any class 40,001 - 50,000 euros/year
## 528 Lower middle class <NA>
## 529 Middle class 30,001 - 40,000 euros/year
## 530 Middle class 40,001 - 50,000 euros/year
## 531 Working class 40,001 - 50,000 euros/year
## 532 Working class 10,000 - 20,000 euros/year
## 533 Middle class 30,001 - 40,000 euros/year
## 534 Working class 20,001 - 30,000 euros/year
## 535 Working class 10,000 - 20,000 euros/year
## 536 Working class 20,001 - 30,000 euros/year
## 537 Upper middle or upper class Over 90,000 euros/year
## 538 Middle class <NA>
## 539 Do not belong to any class 40,001 - 50,000 euros/year
## 540 Lower middle class 30,001 - 40,000 euros/year
## 541 Lower middle class 10,000 - 20,000 euros/year
## 542 Upper middle or upper class 80,001 - 90,000 euros/year
## 543 Middle class 40,001 - 50,000 euros/year
## 544 Middle class <NA>
## 545 Middle class 70,001 - 80,000 euros/year
## 546 Working class 10,000 - 20,000 euros/year
## 547 Upper middle or upper class 10,000 - 20,000 euros/year
## 548 Upper middle or upper class 50,001 - 60,000 euros/year
## 549 Lower middle class 10,000 - 20,000 euros/year
## 550 Middle class Over 90,000 euros/year
## 551 Middle class 20,001 - 30,000 euros/year
## 552 Middle class 50,001 - 60,000 euros/year
## 553 Working class 30,001 - 40,000 euros/year
## 554 Middle class 40,001 - 50,000 euros/year
## 555 Middle class 30,001 - 40,000 euros/year
## 556 Upper middle or upper class 70,001 - 80,000 euros/year
## 557 Middle class 60,001 - 70,000 euros/year
## 558 Middle class 40,001 - 50,000 euros/year
## 559 Middle class 40,001 - 50,000 euros/year
## 560 Lower middle class 20,001 - 30,000 euros/year
## 561 Middle class 80,001 - 90,000 euros/year
## 562 Working class 60,001 - 70,000 euros/year
## 563 Do not belong to any class 40,001 - 50,000 euros/year
## 564 Working class 20,001 - 30,000 euros/year
## 565 Do not belong to any class 20,001 - 30,000 euros/year
## 566 Working class 40,001 - 50,000 euros/year
## 567 Middle class 40,001 - 50,000 euros/year
## 568 Lower middle class 40,001 - 50,000 euros/year
## 569 Middle class <NA>
## 570 Middle class 70,001 - 80,000 euros/year
## 571 Upper middle or upper class 30,001 - 40,000 euros/year
## 572 Middle class 20,001 - 30,000 euros/year
## 573 Lower middle class 60,001 - 70,000 euros/year
## 574 Middle class 60,001 - 70,000 euros/year
## 575 Middle class 40,001 - 50,000 euros/year
## 576 Lower middle class 40,001 - 50,000 euros/year
## 577 Lower middle class 60,001 - 70,000 euros/year
## 578 Do not belong to any class 80,001 - 90,000 euros/year
## 579 Middle class <NA>
## 580 Do not belong to any class 30,001 - 40,000 euros/year
## 581 Lower middle class 20,001 - 30,000 euros/year
## 582 Working class 40,001 - 50,000 euros/year
## 583 Middle class 30,001 - 40,000 euros/year
## 584 Upper middle or upper class 70,001 - 80,000 euros/year
## 585 Middle class 20,001 - 30,000 euros/year
## 586 Middle class 50,001 - 60,000 euros/year
## 587 Middle class 60,001 - 70,000 euros/year
## 588 Middle class 70,001 - 80,000 euros/year
## 589 Do not belong to any class <NA>
## 590 Upper middle or upper class <NA>
## 591 Lower middle class 60,001 - 70,000 euros/year
## 592 Middle class 40,001 - 50,000 euros/year
## 593 Lower middle class 30,001 - 40,000 euros/year
## 594 Lower middle class 10,000 - 20,000 euros/year
## 595 Working class 30,001 - 40,000 euros/year
## 596 Do not belong to any class Over 90,000 euros/year
## 597 Lower middle class 20,001 - 30,000 euros/year
## 598 Do not belong to any class 10,000 - 20,000 euros/year
## 599 Working class 30,001 - 40,000 euros/year
## 600 Middle class 10,000 - 20,000 euros/year
## 601 Working class 40,001 - 50,000 euros/year
## 602 Working class 70,001 - 80,000 euros/year
## 603 Working class 20,001 - 30,000 euros/year
## 604 Middle class 60,001 - 70,000 euros/year
## 605 Working class 20,001 - 30,000 euros/year
## 606 Do not belong to any class Under 10,000 euros/year
## 607 Middle class 60,001 - 70,000 euros/year
## 608 Middle class 50,001 - 60,000 euros/year
## 609 Middle class 40,001 - 50,000 euros/year
## 610 Do not belong to any class 30,001 - 40,000 euros/year
## 611 Upper middle or upper class 30,001 - 40,000 euros/year
## 612 Do not belong to any class 10,000 - 20,000 euros/year
## 613 Lower middle class 50,001 - 60,000 euros/year
## 614 Lower middle class 30,001 - 40,000 euros/year
## 615 Do not belong to any class Over 90,000 euros/year
## 616 Upper middle or upper class Over 90,000 euros/year
## 617 Working class 30,001 - 40,000 euros/year
## 618 Do not belong to any class 40,001 - 50,000 euros/year
## 619 Middle class 50,001 - 60,000 euros/year
## 620 Do not belong to any class Under 10,000 euros/year
## 621 Do not belong to any class <NA>
## 622 Middle class 30,001 - 40,000 euros/year
## 623 Lower middle class 30,001 - 40,000 euros/year
## 624 Upper middle or upper class 60,001 - 70,000 euros/year
## 625 Upper middle or upper class 80,001 - 90,000 euros/year
## 626 Middle class 20,001 - 30,000 euros/year
## 627 Lower middle class 50,001 - 60,000 euros/year
## 628 Middle class 50,001 - 60,000 euros/year
## 629 Working class 20,001 - 30,000 euros/year
## 630 Do not belong to any class 10,000 - 20,000 euros/year
## 631 Lower middle class 10,000 - 20,000 euros/year
## 632 Do not belong to any class 40,001 - 50,000 euros/year
## 633 Lower middle class <NA>
## 634 Lower middle class 30,001 - 40,000 euros/year
## 635 Middle class <NA>
## 636 Do not belong to any class <NA>
## 637 Do not belong to any class 40,001 - 50,000 euros/year
## 638 Middle class 70,001 - 80,000 euros/year
## 639 Middle class 60,001 - 70,000 euros/year
## 640 Lower middle class 60,001 - 70,000 euros/year
## 641 Middle class 40,001 - 50,000 euros/year
## 642 Lower middle class 20,001 - 30,000 euros/year
## 643 Do not belong to any class Under 10,000 euros/year
## 644 Upper middle or upper class 70,001 - 80,000 euros/year
## 645 Working class 20,001 - 30,000 euros/year
## 646 Working class 10,000 - 20,000 euros/year
## 647 Working class Under 10,000 euros/year
## 648 Middle class <NA>
## 649 Do not belong to any class <NA>
## 650 Working class 20,001 - 30,000 euros/year
## 651 Working class 60,001 - 70,000 euros/year
## 652 Do not belong to any class 20,001 - 30,000 euros/year
## 653 Lower middle class 30,001 - 40,000 euros/year
## 654 Middle class 10,000 - 20,000 euros/year
## 655 Working class 70,001 - 80,000 euros/year
## 656 Middle class 60,001 - 70,000 euros/year
## 657 Working class 10,000 - 20,000 euros/year
## 658 Middle class Over 90,000 euros/year
## 659 Do not belong to any class 10,000 - 20,000 euros/year
## 660 Working class <NA>
## 661 Middle class 20,001 - 30,000 euros/year
## 662 Do not belong to any class 20,001 - 30,000 euros/year
## 663 Working class <NA>
## 664 Middle class Under 10,000 euros/year
## 665 Do not belong to any class 30,001 - 40,000 euros/year
## 666 Working class 20,001 - 30,000 euros/year
## 667 Do not belong to any class <NA>
## 668 Middle class 40,001 - 50,000 euros/year
## 669 Middle class 50,001 - 60,000 euros/year
## 670 Middle class 70,001 - 80,000 euros/year
## 671 Middle class 30,001 - 40,000 euros/year
## 672 Upper middle or upper class 60,001 - 70,000 euros/year
## 673 Lower middle class 30,001 - 40,000 euros/year
## 674 Middle class 60,001 - 70,000 euros/year
## 675 Middle class 30,001 - 40,000 euros/year
## 676 Middle class <NA>
## 677 Upper middle or upper class 30,001 - 40,000 euros/year
## 678 Do not belong to any class Under 10,000 euros/year
## 679 Middle class 60,001 - 70,000 euros/year
## 680 Lower middle class 60,001 - 70,000 euros/year
## 681 Working class Under 10,000 euros/year
## 682 Upper middle or upper class Over 90,000 euros/year
## 683 Working class 20,001 - 30,000 euros/year
## 684 Working class 20,001 - 30,000 euros/year
## 685 Do not belong to any class <NA>
## 686 Working class 20,001 - 30,000 euros/year
## 687 Middle class 50,001 - 60,000 euros/year
## 688 Do not belong to any class 20,001 - 30,000 euros/year
## 689 Upper middle or upper class 50,001 - 60,000 euros/year
## 690 Do not belong to any class 10,000 - 20,000 euros/year
## 691 Lower middle class 50,001 - 60,000 euros/year
## 692 Working class 20,001 - 30,000 euros/year
## 693 Working class 20,001 - 30,000 euros/year
## 694 Middle class <NA>
## 695 Lower middle class 10,000 - 20,000 euros/year
## 696 Middle class 70,001 - 80,000 euros/year
## 697 Lower middle class 40,001 - 50,000 euros/year
## 698 Do not belong to any class 60,001 - 70,000 euros/year
## 699 Upper middle or upper class <NA>
## 700 Middle class 70,001 - 80,000 euros/year
## 701 Working class 20,001 - 30,000 euros/year
## 702 Middle class 70,001 - 80,000 euros/year
## 703 Middle class 10,000 - 20,000 euros/year
## 704 Middle class 10,000 - 20,000 euros/year
## 705 Working class Under 10,000 euros/year
## 706 Do not belong to any class 10,000 - 20,000 euros/year
## 707 Middle class Over 90,000 euros/year
## 708 Middle class 60,001 - 70,000 euros/year
## 709 Middle class 60,001 - 70,000 euros/year
## 710 Do not belong to any class <NA>
## 711 Do not belong to any class 30,001 - 40,000 euros/year
## 712 Middle class <NA>
## 713 Middle class 30,001 - 40,000 euros/year
## 714 Working class 60,001 - 70,000 euros/year
## 715 Lower middle class Under 10,000 euros/year
## 716 Lower middle class 50,001 - 60,000 euros/year
## 717 Do not belong to any class 30,001 - 40,000 euros/year
## 718 Middle class 50,001 - 60,000 euros/year
## 719 Working class 10,000 - 20,000 euros/year
## 720 Lower middle class Under 10,000 euros/year
## 721 Working class 10,000 - 20,000 euros/year
## 722 Working class <NA>
## 723 Working class 50,001 - 60,000 euros/year
## 724 Working class 30,001 - 40,000 euros/year
## 725 Working class 40,001 - 50,000 euros/year
## 726 Upper middle or upper class Over 90,000 euros/year
## 727 Do not belong to any class 60,001 - 70,000 euros/year
## 728 Working class <NA>
## 729 Do not belong to any class Under 10,000 euros/year
## 730 Lower middle class 30,001 - 40,000 euros/year
## 731 Middle class 60,001 - 70,000 euros/year
## 732 Middle class 10,000 - 20,000 euros/year
## 733 Middle class 50,001 - 60,000 euros/year
## 734 Do not belong to any class <NA>
## 735 Working class 10,000 - 20,000 euros/year
## 736 Do not belong to any class 50,001 - 60,000 euros/year
## 737 Upper middle or upper class 40,001 - 50,000 euros/year
## 738 Do not belong to any class <NA>
## 739 Middle class 50,001 - 60,000 euros/year
## 740 Middle class 50,001 - 60,000 euros/year
## 741 Middle class 30,001 - 40,000 euros/year
## 742 Middle class 40,001 - 50,000 euros/year
## 743 Lower middle class 20,001 - 30,000 euros/year
## 744 Lower middle class 20,001 - 30,000 euros/year
## 745 Upper middle or upper class 50,001 - 60,000 euros/year
## 746 Middle class 60,001 - 70,000 euros/year
## 747 Middle class 20,001 - 30,000 euros/year
## 748 Upper middle or upper class 60,001 - 70,000 euros/year
## 749 Working class 20,001 - 30,000 euros/year
## 750 Do not belong to any class 10,000 - 20,000 euros/year
## 751 Do not belong to any class 40,001 - 50,000 euros/year
## 752 Do not belong to any class 30,001 - 40,000 euros/year
## 753 Middle class 50,001 - 60,000 euros/year
## 754 Working class 20,001 - 30,000 euros/year
## 755 Middle class 40,001 - 50,000 euros/year
## 756 Middle class 50,001 - 60,000 euros/year
## 757 Middle class 30,001 - 40,000 euros/year
## 758 Working class 70,001 - 80,000 euros/year
## 759 Do not belong to any class 50,001 - 60,000 euros/year
## 760 Working class 10,000 - 20,000 euros/year
## 761 Upper middle or upper class 60,001 - 70,000 euros/year
## 762 Middle class 40,001 - 50,000 euros/year
## 763 Middle class 20,001 - 30,000 euros/year
## 764 Upper middle or upper class <NA>
## 765 Middle class 20,001 - 30,000 euros/year
## 766 Lower middle class 80,001 - 90,000 euros/year
## 767 Middle class 30,001 - 40,000 euros/year
## 768 Do not belong to any class 10,000 - 20,000 euros/year
## 769 Working class 10,000 - 20,000 euros/year
## 770 Do not belong to any class 40,001 - 50,000 euros/year
## 771 Lower middle class 30,001 - 40,000 euros/year
## 772 Upper middle or upper class Over 90,000 euros/year
## 773 Lower middle class 70,001 - 80,000 euros/year
## 774 Middle class 70,001 - 80,000 euros/year
## 775 Middle class Under 10,000 euros/year
## 776 Working class 30,001 - 40,000 euros/year
## 777 Middle class 30,001 - 40,000 euros/year
## 778 Upper middle or upper class 30,001 - 40,000 euros/year
## 779 Do not belong to any class 30,001 - 40,000 euros/year
## 780 Upper middle or upper class 50,001 - 60,000 euros/year
## 781 Working class 10,000 - 20,000 euros/year
## 782 Upper middle or upper class 80,001 - 90,000 euros/year
## 783 Working class 30,001 - 40,000 euros/year
## 784 Do not belong to any class 40,001 - 50,000 euros/year
## 785 Middle class 70,001 - 80,000 euros/year
## 786 Middle class 40,001 - 50,000 euros/year
## 787 Working class 50,001 - 60,000 euros/year
## 788 Working class Under 10,000 euros/year
## 789 Do not belong to any class Under 10,000 euros/year
## 790 Upper middle or upper class 50,001 - 60,000 euros/year
## 791 Middle class 60,001 - 70,000 euros/year
## 792 Upper middle or upper class 50,001 - 60,000 euros/year
## 793 Middle class 40,001 - 50,000 euros/year
## 794 Working class 60,001 - 70,000 euros/year
## 795 Do not belong to any class Under 10,000 euros/year
## 796 Working class 60,001 - 70,000 euros/year
## 797 Lower middle class 10,000 - 20,000 euros/year
## 798 Middle class 20,001 - 30,000 euros/year
## 799 Upper middle or upper class 50,001 - 60,000 euros/year
## 800 Do not belong to any class 50,001 - 60,000 euros/year
## 801 Upper middle or upper class <NA>
## 802 Middle class Over 90,000 euros/year
## 803 Lower middle class 10,000 - 20,000 euros/year
## 804 Do not belong to any class 60,001 - 70,000 euros/year
## 805 Working class 20,001 - 30,000 euros/year
## 806 Upper middle or upper class 30,001 - 40,000 euros/year
## 807 Do not belong to any class <NA>
## 808 Working class 10,000 - 20,000 euros/year
## 809 Middle class 30,001 - 40,000 euros/year
## 810 Do not belong to any class <NA>
## 811 Do not belong to any class Under 10,000 euros/year
## 812 Do not belong to any class 60,001 - 70,000 euros/year
## 813 Middle class 60,001 - 70,000 euros/year
## 814 Do not belong to any class 60,001 - 70,000 euros/year
## 815 Do not belong to any class 70,001 - 80,000 euros/year
## 816 Lower middle class 10,000 - 20,000 euros/year
## 817 Lower middle class 60,001 - 70,000 euros/year
## 818 Working class 10,000 - 20,000 euros/year
## 819 Middle class 20,001 - 30,000 euros/year
## 820 Working class 80,001 - 90,000 euros/year
## 821 Upper middle or upper class 40,001 - 50,000 euros/year
## 822 Do not belong to any class 30,001 - 40,000 euros/year
## 823 Middle class 10,000 - 20,000 euros/year
## 824 Upper middle or upper class 40,001 - 50,000 euros/year
## 825 Middle class 30,001 - 40,000 euros/year
## 826 Working class 30,001 - 40,000 euros/year
## 827 Lower middle class 20,001 - 30,000 euros/year
## 828 Middle class Over 90,000 euros/year
## 829 Working class 30,001 - 40,000 euros/year
## 830 Middle class 70,001 - 80,000 euros/year
## 831 Working class 40,001 - 50,000 euros/year
## 832 Do not belong to any class Under 10,000 euros/year
## 833 Middle class 60,001 - 70,000 euros/year
## 834 Lower middle class 20,001 - 30,000 euros/year
## 835 Working class 20,001 - 30,000 euros/year
## 836 Upper middle or upper class 50,001 - 60,000 euros/year
## 837 Working class 30,001 - 40,000 euros/year
## 838 Middle class 40,001 - 50,000 euros/year
## 839 Upper middle or upper class 80,001 - 90,000 euros/year
## 840 Working class 20,001 - 30,000 euros/year
## 841 Do not belong to any class Under 10,000 euros/year
## 842 Lower middle class 50,001 - 60,000 euros/year
## 843 Lower middle class <NA>
## 844 Middle class 10,000 - 20,000 euros/year
## 845 Do not belong to any class 60,001 - 70,000 euros/year
## 846 Lower middle class 20,001 - 30,000 euros/year
## 847 Lower middle class 30,001 - 40,000 euros/year
## 848 Middle class Over 90,000 euros/year
## 849 Working class 10,000 - 20,000 euros/year
## 850 Middle class 40,001 - 50,000 euros/year
## 851 Working class Under 10,000 euros/year
## 852 Working class 40,001 - 50,000 euros/year
## 853 Working class 50,001 - 60,000 euros/year
## 854 Middle class 20,001 - 30,000 euros/year
## 855 Middle class <NA>
## 856 Working class 30,001 - 40,000 euros/year
## 857 Middle class 60,001 - 70,000 euros/year
## 858 Lower middle class 50,001 - 60,000 euros/year
## 859 Upper middle or upper class 50,001 - 60,000 euros/year
## 860 Upper middle or upper class 20,001 - 30,000 euros/year
## 861 Middle class 70,001 - 80,000 euros/year
## 862 Upper middle or upper class Over 90,000 euros/year
## 863 Middle class 40,001 - 50,000 euros/year
## 864 Middle class 60,001 - 70,000 euros/year
## 865 Lower middle class 20,001 - 30,000 euros/year
## 866 Middle class 30,001 - 40,000 euros/year
## 867 Working class 10,000 - 20,000 euros/year
## 868 Middle class 60,001 - 70,000 euros/year
## 869 Middle class 40,001 - 50,000 euros/year
## 870 Lower middle class 80,001 - 90,000 euros/year
## 871 Middle class <NA>
## 872 Lower middle class 40,001 - 50,000 euros/year
## 873 Working class 50,001 - 60,000 euros/year
## 874 Middle class 20,001 - 30,000 euros/year
## 875 Middle class 50,001 - 60,000 euros/year
## 876 Upper middle or upper class Over 90,000 euros/year
## 877 Middle class Over 90,000 euros/year
## 878 Middle class 40,001 - 50,000 euros/year
## 879 Working class 50,001 - 60,000 euros/year
## 880 Upper middle or upper class 80,001 - 90,000 euros/year
## 881 Do not belong to any class 20,001 - 30,000 euros/year
## 882 Middle class 40,001 - 50,000 euros/year
## 883 Working class 30,001 - 40,000 euros/year
## 884 Middle class 80,001 - 90,000 euros/year
## 885 Upper middle or upper class <NA>
## 886 Working class 30,001 - 40,000 euros/year
## 887 Do not belong to any class 20,001 - 30,000 euros/year
## 888 Working class 60,001 - 70,000 euros/year
## 889 Working class 40,001 - 50,000 euros/year
## 890 Do not belong to any class 20,001 - 30,000 euros/year
## 891 Middle class <NA>
## 892 Middle class 10,000 - 20,000 euros/year
## 893 Working class 40,001 - 50,000 euros/year
## 894 Middle class 60,001 - 70,000 euros/year
## 895 Upper middle or upper class 60,001 - 70,000 euros/year
## 896 Upper middle or upper class 60,001 - 70,000 euros/year
## 897 Working class 20,001 - 30,000 euros/year
## 898 Working class <NA>
## 899 Middle class 20,001 - 30,000 euros/year
## 900 Middle class 10,000 - 20,000 euros/year
## 901 Middle class 70,001 - 80,000 euros/year
## 902 Working class Under 10,000 euros/year
## 903 Lower middle class 40,001 - 50,000 euros/year
## 904 Lower middle class 30,001 - 40,000 euros/year
## 905 Upper middle or upper class Over 90,000 euros/year
## 906 Lower middle class 30,001 - 40,000 euros/year
## 907 Do not belong to any class 80,001 - 90,000 euros/year
## 908 Lower middle class 10,000 - 20,000 euros/year
## 909 Working class 10,000 - 20,000 euros/year
## 910 Working class Under 10,000 euros/year
## 911 Middle class 20,001 - 30,000 euros/year
## 912 Upper middle or upper class Over 90,000 euros/year
## 913 Working class 40,001 - 50,000 euros/year
## 914 Middle class 30,001 - 40,000 euros/year
## 915 Upper middle or upper class 40,001 - 50,000 euros/year
## 916 Working class 30,001 - 40,000 euros/year
## 917 Working class 50,001 - 60,000 euros/year
## 918 Middle class <NA>
## 919 Lower middle class 20,001 - 30,000 euros/year
## 920 Middle class 40,001 - 50,000 euros/year
## 921 Middle class 60,001 - 70,000 euros/year
## 922 Working class <NA>
## 923 Working class 30,001 - 40,000 euros/year
## 924 Upper middle or upper class <NA>
## 925 Do not belong to any class 50,001 - 60,000 euros/year
## 926 Upper middle or upper class 30,001 - 40,000 euros/year
## 927 Upper middle or upper class 60,001 - 70,000 euros/year
## 928 Middle class <NA>
## 929 Middle class 80,001 - 90,000 euros/year
## 930 Middle class 60,001 - 70,000 euros/year
## 931 Upper middle or upper class 80,001 - 90,000 euros/year
## 932 Working class 70,001 - 80,000 euros/year
## 933 Lower middle class <NA>
## 934 Do not belong to any class 10,000 - 20,000 euros/year
## 935 Middle class 40,001 - 50,000 euros/year
## 936 Working class 60,001 - 70,000 euros/year
## 937 Do not belong to any class 30,001 - 40,000 euros/year
## 938 Working class Over 90,000 euros/year
## 939 Middle class 30,001 - 40,000 euros/year
## 940 Upper middle or upper class 50,001 - 60,000 euros/year
## 941 Do not belong to any class 20,001 - 30,000 euros/year
## 942 Lower middle class 30,001 - 40,000 euros/year
## 943 Upper middle or upper class 10,000 - 20,000 euros/year
## 944 Middle class 70,001 - 80,000 euros/year
## 945 Working class 60,001 - 70,000 euros/year
## 946 Middle class 80,001 - 90,000 euros/year
## 947 Middle class 30,001 - 40,000 euros/year
## 948 Lower middle class 10,000 - 20,000 euros/year
## 949 Upper middle or upper class 60,001 - 70,000 euros/year
## 950 Working class 30,001 - 40,000 euros/year
## 951 Middle class 60,001 - 70,000 euros/year
## 952 Middle class 30,001 - 40,000 euros/year
## 953 Upper middle or upper class <NA>
## 954 Working class 30,001 - 40,000 euros/year
## 955 Working class 20,001 - 30,000 euros/year
## 956 Middle class 40,001 - 50,000 euros/year
## 957 Lower middle class 10,000 - 20,000 euros/year
## 958 Middle class 60,001 - 70,000 euros/year
## 959 Lower middle class 30,001 - 40,000 euros/year
## 960 Middle class 40,001 - 50,000 euros/year
## 961 Working class 10,000 - 20,000 euros/year
## 962 Middle class 20,001 - 30,000 euros/year
## 963 Middle class 70,001 - 80,000 euros/year
## 964 Upper middle or upper class <NA>
## 965 Do not belong to any class 60,001 - 70,000 euros/year
## 966 Middle class 40,001 - 50,000 euros/year
## 967 Middle class <NA>
## 968 Middle class 30,001 - 40,000 euros/year
## 969 Middle class 10,000 - 20,000 euros/year
## 970 Working class <NA>
## 971 Middle class 50,001 - 60,000 euros/year
## 972 Do not belong to any class 20,001 - 30,000 euros/year
## 973 Working class 20,001 - 30,000 euros/year
## 974 Working class 60,001 - 70,000 euros/year
## 975 Middle class 20,001 - 30,000 euros/year
## 976 Middle class 50,001 - 60,000 euros/year
## 977 Do not belong to any class 50,001 - 60,000 euros/year
## 978 Middle class 30,001 - 40,000 euros/year
## 979 Working class 40,001 - 50,000 euros/year
## 980 Working class 10,000 - 20,000 euros/year
## 981 Middle class 20,001 - 30,000 euros/year
## 982 Working class 40,001 - 50,000 euros/year
## 983 Do not belong to any class <NA>
## 984 Working class <NA>
## 985 Middle class 20,001 - 30,000 euros/year
## 986 Lower middle class <NA>
## 987 Working class 20,001 - 30,000 euros/year
## 988 Middle class 60,001 - 70,000 euros/year
## 989 Do not belong to any class Under 10,000 euros/year
## 990 Lower middle class 30,001 - 40,000 euros/year
## 991 Working class 30,001 - 40,000 euros/year
## 992 Working class 10,000 - 20,000 euros/year
## 993 Middle class 20,001 - 30,000 euros/year
## 994 Middle class 40,001 - 50,000 euros/year
## 995 Do not belong to any class 40,001 - 50,000 euros/year
## 996 Middle class 20,001 - 30,000 euros/year
## 997 Working class 20,001 - 30,000 euros/year
## 998 Working class 20,001 - 30,000 euros/year
## 999 Do not belong to any class 60,001 - 70,000 euros/year
## 1000 Working class Under 10,000 euros/year
## 1001 Middle class <NA>
## 1002 Working class Over 90,000 euros/year
## 1003 Working class 40,001 - 50,000 euros/year
## 1004 Upper middle or upper class 40,001 - 50,000 euros/year
## 1005 Middle class <NA>
## 1006 Upper middle or upper class 80,001 - 90,000 euros/year
## 1007 Working class <NA>
## 1008 Working class 30,001 - 40,000 euros/year
## 1009 Upper middle or upper class 50,001 - 60,000 euros/year
## 1010 Working class 20,001 - 30,000 euros/year
## 1011 Middle class 60,001 - 70,000 euros/year
## 1012 Do not belong to any class Over 90,000 euros/year
## 1013 Do not belong to any class Under 10,000 euros/year
## 1014 Working class <NA>
## 1015 Upper middle or upper class 60,001 - 70,000 euros/year
## 1016 Upper middle or upper class Over 90,000 euros/year
## 1017 Lower middle class 30,001 - 40,000 euros/year
## 1018 Working class 50,001 - 60,000 euros/year
## 1019 Do not belong to any class 30,001 - 40,000 euros/year
## 1020 Middle class 80,001 - 90,000 euros/year
## 1021 Lower middle class 20,001 - 30,000 euros/year
## 1022 Working class 70,001 - 80,000 euros/year
## 1023 Middle class 80,001 - 90,000 euros/year
## 1024 Lower middle class 40,001 - 50,000 euros/year
## 1025 Working class 20,001 - 30,000 euros/year
## 1026 Middle class 50,001 - 60,000 euros/year
## 1027 Working class Under 10,000 euros/year
## 1028 Working class 50,001 - 60,000 euros/year
## 1029 Working class 20,001 - 30,000 euros/year
## 1030 Upper middle or upper class 20,001 - 30,000 euros/year
## 1031 Lower middle class 10,000 - 20,000 euros/year
## 1032 Working class Under 10,000 euros/year
## 1033 Do not belong to any class Under 10,000 euros/year
## 1034 Middle class 30,001 - 40,000 euros/year
## 1035 Working class 20,001 - 30,000 euros/year
## 1036 Middle class 70,001 - 80,000 euros/year
## 1037 Middle class 30,001 - 40,000 euros/year
## 1038 Middle class 50,001 - 60,000 euros/year
## 1039 Middle class 30,001 - 40,000 euros/year
## 1040 Middle class 80,001 - 90,000 euros/year
## 1041 Working class 80,001 - 90,000 euros/year
## 1042 Working class 10,000 - 20,000 euros/year
## 1043 Working class 30,001 - 40,000 euros/year
## 1044 Lower middle class Under 10,000 euros/year
## 1045 Working class 80,001 - 90,000 euros/year
## 1046 Working class 40,001 - 50,000 euros/year
## 1047 Lower middle class 60,001 - 70,000 euros/year
## 1048 Middle class Over 90,000 euros/year
## 1049 Working class 60,001 - 70,000 euros/year
## 1050 Middle class 80,001 - 90,000 euros/year
## 1051 Working class 20,001 - 30,000 euros/year
## 1052 Middle class 30,001 - 40,000 euros/year
## 1053 Upper middle or upper class Over 90,000 euros/year
## 1054 Working class 20,001 - 30,000 euros/year
## 1055 Middle class 20,001 - 30,000 euros/year
## 1056 Middle class 40,001 - 50,000 euros/year
## 1057 Lower middle class 50,001 - 60,000 euros/year
## 1058 Middle class 40,001 - 50,000 euros/year
## 1059 Lower middle class 30,001 - 40,000 euros/year
## 1060 Middle class 50,001 - 60,000 euros/year
## 1061 Upper middle or upper class Over 90,000 euros/year
## 1062 Upper middle or upper class 60,001 - 70,000 euros/year
## 1063 Working class 40,001 - 50,000 euros/year
## 1064 Middle class 70,001 - 80,000 euros/year
## 1065 Do not belong to any class 60,001 - 70,000 euros/year
## 1066 Lower middle class <NA>
## 1067 Middle class <NA>
## 1068 Working class 10,000 - 20,000 euros/year
## 1069 Do not belong to any class 70,001 - 80,000 euros/year
## 1070 Lower middle class 20,001 - 30,000 euros/year
## 1071 Do not belong to any class 10,000 - 20,000 euros/year
## 1072 Working class Under 10,000 euros/year
## 1073 Middle class 60,001 - 70,000 euros/year
## 1074 Middle class 50,001 - 60,000 euros/year
## 1075 Working class Under 10,000 euros/year
## 1076 Middle class 60,001 - 70,000 euros/year
## 1077 Do not belong to any class Under 10,000 euros/year
## 1078 Lower middle class <NA>
## 1079 Lower middle class <NA>
## 1080 Do not belong to any class Over 90,000 euros/year
## 1081 Middle class Over 90,000 euros/year
## 1082 Middle class 30,001 - 40,000 euros/year
## 1083 Working class 80,001 - 90,000 euros/year
## 1084 Upper middle or upper class Over 90,000 euros/year
## 1085 Middle class 10,000 - 20,000 euros/year
## 1086 Middle class 30,001 - 40,000 euros/year
## 1087 Lower middle class <NA>
## 1088 Do not belong to any class 10,000 - 20,000 euros/year
## 1089 Upper middle or upper class 70,001 - 80,000 euros/year
## 1090 Working class 30,001 - 40,000 euros/year
## 1091 Do not belong to any class 10,000 - 20,000 euros/year
## 1092 Working class 40,001 - 50,000 euros/year
## 1093 Middle class 40,001 - 50,000 euros/year
## 1094 Working class 10,000 - 20,000 euros/year
## 1095 Working class 30,001 - 40,000 euros/year
## 1096 Working class 40,001 - 50,000 euros/year
## 1097 Working class 10,000 - 20,000 euros/year
## 1098 Middle class 60,001 - 70,000 euros/year
## 1099 Upper middle or upper class Over 90,000 euros/year
## 1100 Do not belong to any class <NA>
## 1101 Middle class Over 90,000 euros/year
## 1102 Middle class 50,001 - 60,000 euros/year
## 1103 Lower middle class <NA>
## 1104 Middle class 20,001 - 30,000 euros/year
## 1105 Middle class 30,001 - 40,000 euros/year
## 1106 Lower middle class 10,000 - 20,000 euros/year
## 1107 Lower middle class <NA>
## 1108 Middle class Under 10,000 euros/year
## 1109 Do not belong to any class <NA>
## 1110 Working class 80,001 - 90,000 euros/year
## 1111 Middle class 50,001 - 60,000 euros/year
## 1112 Working class 50,001 - 60,000 euros/year
## 1113 Middle class 30,001 - 40,000 euros/year
## 1114 Upper middle or upper class <NA>
## 1115 Lower middle class 20,001 - 30,000 euros/year
## 1116 Do not belong to any class <NA>
## 1117 Middle class 60,001 - 70,000 euros/year
## 1118 Working class 40,001 - 50,000 euros/year
## 1119 Middle class 20,001 - 30,000 euros/year
## 1120 Working class <NA>
## 1121 Lower middle class Under 10,000 euros/year
## 1122 Middle class 60,001 - 70,000 euros/year
## 1123 Working class 50,001 - 60,000 euros/year
## 1124 Working class 70,001 - 80,000 euros/year
## 1125 Working class <NA>
## 1126 Working class 60,001 - 70,000 euros/year
## 1127 Do not belong to any class 50,001 - 60,000 euros/year
## 1128 Lower middle class 20,001 - 30,000 euros/year
## 1129 Middle class <NA>
## 1130 Upper middle or upper class 70,001 - 80,000 euros/year
## 1131 Middle class 70,001 - 80,000 euros/year
## 1132 Upper middle or upper class Over 90,000 euros/year
## 1133 Do not belong to any class <NA>
## 1134 Upper middle or upper class 10,000 - 20,000 euros/year
## 1135 Upper middle or upper class 70,001 - 80,000 euros/year
## 1136 Middle class 80,001 - 90,000 euros/year
## 1137 Working class 60,001 - 70,000 euros/year
## 1138 Working class 20,001 - 30,000 euros/year
## 1139 Middle class <NA>
## 1140 Upper middle or upper class 70,001 - 80,000 euros/year
## 1141 Middle class <NA>
## 1142 Middle class 50,001 - 60,000 euros/year
## 1143 Middle class 20,001 - 30,000 euros/year
## 1144 Do not belong to any class 50,001 - 60,000 euros/year
## 1145 Middle class Over 90,000 euros/year
## 1146 Working class 60,001 - 70,000 euros/year
## 1147 Do not belong to any class Under 10,000 euros/year
## 1148 Working class 10,000 - 20,000 euros/year
## 1149 Upper middle or upper class <NA>
## 1150 Working class 10,000 - 20,000 euros/year
## 1151 Working class 50,001 - 60,000 euros/year
## 1152 Working class Under 10,000 euros/year
## 1153 Working class 10,000 - 20,000 euros/year
## 1154 Middle class 60,001 - 70,000 euros/year
## 1155 Working class 20,001 - 30,000 euros/year
## 1156 Do not belong to any class Under 10,000 euros/year
## 1157 Middle class 40,001 - 50,000 euros/year
## 1158 Working class 20,001 - 30,000 euros/year
## 1159 Middle class 30,001 - 40,000 euros/year
## 1160 Middle class 40,001 - 50,000 euros/year
## 1161 Middle class 70,001 - 80,000 euros/year
## 1162 Do not belong to any class 60,001 - 70,000 euros/year
## 1163 Middle class 60,001 - 70,000 euros/year
## 1164 Lower middle class <NA>
## 1165 Middle class 20,001 - 30,000 euros/year
## 1166 Do not belong to any class 70,001 - 80,000 euros/year
## 1167 Working class 20,001 - 30,000 euros/year
## 1168 Do not belong to any class Under 10,000 euros/year
## 1169 Do not belong to any class <NA>
## 1170 Middle class 30,001 - 40,000 euros/year
## 1171 Middle class 40,001 - 50,000 euros/year
## 1172 Lower middle class 20,001 - 30,000 euros/year
## 1173 Middle class 60,001 - 70,000 euros/year
## 1174 Upper middle or upper class Over 90,000 euros/year
## 1175 Do not belong to any class Under 10,000 euros/year
## 1176 Do not belong to any class Under 10,000 euros/year
## 1177 Middle class <NA>
## 1178 Working class 40,001 - 50,000 euros/year
## 1179 Working class <NA>
## 1180 Lower middle class 50,001 - 60,000 euros/year
## 1181 Middle class 20,001 - 30,000 euros/year
## 1182 Lower middle class 60,001 - 70,000 euros/year
## 1183 Working class 20,001 - 30,000 euros/year
## 1184 Working class 40,001 - 50,000 euros/year
## 1185 Middle class 70,001 - 80,000 euros/year
## 1186 Middle class 50,001 - 60,000 euros/year
## 1187 Working class 60,001 - 70,000 euros/year
## 1188 Middle class 70,001 - 80,000 euros/year
## 1189 Working class 60,001 - 70,000 euros/year
## 1190 Lower middle class 60,001 - 70,000 euros/year
## 1191 Working class 10,000 - 20,000 euros/year
## 1192 Middle class <NA>
## 1193 Middle class 70,001 - 80,000 euros/year
## 1194 Middle class 60,001 - 70,000 euros/year
## 1195 Working class 30,001 - 40,000 euros/year
## 1196 Middle class 30,001 - 40,000 euros/year
## 1197 Upper middle or upper class 60,001 - 70,000 euros/year
## 1198 Middle class <NA>
## 1199 Middle class 20,001 - 30,000 euros/year
## 1200 Working class <NA>
## 1201 Do not belong to any class 20,001 - 30,000 euros/year
## 1202 Lower middle class 60,001 - 70,000 euros/year
## 1203 Middle class 30,001 - 40,000 euros/year
## 1204 Middle class 60,001 - 70,000 euros/year
## 1205 Working class 40,001 - 50,000 euros/year
## 1206 Middle class Over 90,000 euros/year
## 1207 Middle class 50,001 - 60,000 euros/year
## 1208 Lower middle class 50,001 - 60,000 euros/year
## 1209 Lower middle class 20,001 - 30,000 euros/year
## 1210 Do not belong to any class 10,000 - 20,000 euros/year
## 1211 Lower middle class 40,001 - 50,000 euros/year
## 1212 Lower middle class 30,001 - 40,000 euros/year
## 1213 Working class 60,001 - 70,000 euros/year
## 1214 Lower middle class 40,001 - 50,000 euros/year
## 1215 Middle class Over 90,000 euros/year
## 1216 Lower middle class Under 10,000 euros/year
## 1217 Upper middle or upper class Over 90,000 euros/year
## 1218 Middle class Under 10,000 euros/year
## 1219 Lower middle class 40,001 - 50,000 euros/year
## 1220 Do not belong to any class 20,001 - 30,000 euros/year
## 1221 Middle class 60,001 - 70,000 euros/year
## 1222 Upper middle or upper class Over 90,000 euros/year
## 1223 Do not belong to any class Under 10,000 euros/year
## 1224 Working class 40,001 - 50,000 euros/year
## 1225 Do not belong to any class 20,001 - 30,000 euros/year
## 1226 Working class 20,001 - 30,000 euros/year
## 1227 Working class 30,001 - 40,000 euros/year
## 1228 Middle class 30,001 - 40,000 euros/year
## 1229 Upper middle or upper class Over 90,000 euros/year
## 1230 Middle class 30,001 - 40,000 euros/year
## 1231 Working class 40,001 - 50,000 euros/year
## 1232 Working class <NA>
## 1233 Middle class 70,001 - 80,000 euros/year
## 1234 Working class 20,001 - 30,000 euros/year
## 1235 Middle class 10,000 - 20,000 euros/year
## 1236 Working class 20,001 - 30,000 euros/year
## 1237 Do not belong to any class 40,001 - 50,000 euros/year
## 1238 Upper middle or upper class <NA>
## 1239 Middle class 30,001 - 40,000 euros/year
## 1240 Upper middle or upper class 20,001 - 30,000 euros/year
## 1241 Upper middle or upper class 50,001 - 60,000 euros/year
## 1242 Working class 10,000 - 20,000 euros/year
## 1243 Upper middle or upper class 60,001 - 70,000 euros/year
## 1244 Middle class 80,001 - 90,000 euros/year
## 1245 Do not belong to any class 10,000 - 20,000 euros/year
## 1246 Lower middle class 10,000 - 20,000 euros/year
## 1247 Working class <NA>
## 1248 Do not belong to any class 40,001 - 50,000 euros/year
## 1249 Lower middle class 30,001 - 40,000 euros/year
## 1250 Lower middle class 10,000 - 20,000 euros/year
## 1251 Middle class <NA>
## 1252 Middle class 50,001 - 60,000 euros/year
## 1253 Middle class 50,001 - 60,000 euros/year
## 1254 Do not belong to any class Under 10,000 euros/year
## 1255 Do not belong to any class Under 10,000 euros/year
## 1256 Upper middle or upper class 40,001 - 50,000 euros/year
## 1257 Middle class 70,001 - 80,000 euros/year
## 1258 Upper middle or upper class 30,001 - 40,000 euros/year
## 1259 Lower middle class 10,000 - 20,000 euros/year
## 1260 Upper middle or upper class 60,001 - 70,000 euros/year
## 1261 Lower middle class 30,001 - 40,000 euros/year
## 1262 Lower middle class 20,001 - 30,000 euros/year
## 1263 Working class 10,000 - 20,000 euros/year
## 1264 Middle class 70,001 - 80,000 euros/year
## 1265 Middle class 80,001 - 90,000 euros/year
## 1266 Working class 50,001 - 60,000 euros/year
## 1267 Working class 60,001 - 70,000 euros/year
## 1268 Middle class Over 90,000 euros/year
## 1269 Lower middle class Under 10,000 euros/year
## 1270 Working class 10,000 - 20,000 euros/year
## 1271 Do not belong to any class 40,001 - 50,000 euros/year
## 1272 Middle class 70,001 - 80,000 euros/year
## 1273 Middle class 80,001 - 90,000 euros/year
## 1274 Do not belong to any class 10,000 - 20,000 euros/year
## 1275 Working class 10,000 - 20,000 euros/year
## 1276 Upper middle or upper class 80,001 - 90,000 euros/year
## 1277 Middle class <NA>
## 1278 Lower middle class <NA>
## 1279 Do not belong to any class 60,001 - 70,000 euros/year
## 1280 Middle class 10,000 - 20,000 euros/year
## 1281 Middle class 50,001 - 60,000 euros/year
## 1282 Middle class 50,001 - 60,000 euros/year
## 1283 Working class Under 10,000 euros/year
## 1284 Upper middle or upper class Over 90,000 euros/year
## 1285 Upper middle or upper class 80,001 - 90,000 euros/year
## 1286 Lower middle class 60,001 - 70,000 euros/year
## 1287 Middle class Over 90,000 euros/year
## 1288 Middle class 60,001 - 70,000 euros/year
## 1289 Working class Over 90,000 euros/year
## 1290 Lower middle class 70,001 - 80,000 euros/year
## 1291 Middle class 40,001 - 50,000 euros/year
## 1292 Lower middle class Over 90,000 euros/year
## 1293 Middle class 50,001 - 60,000 euros/year
## 1294 Working class <NA>
## 1295 Lower middle class <NA>
## 1296 Middle class 20,001 - 30,000 euros/year
## 1297 Middle class 20,001 - 30,000 euros/year
## 1298 Middle class 40,001 - 50,000 euros/year
## 1299 Working class 30,001 - 40,000 euros/year
## 1300 Upper middle or upper class 40,001 - 50,000 euros/year
## 1301 Middle class 60,001 - 70,000 euros/year
## 1302 Working class 30,001 - 40,000 euros/year
## 1303 Middle class 70,001 - 80,000 euros/year
## 1304 Upper middle or upper class 50,001 - 60,000 euros/year
## 1305 Middle class 70,001 - 80,000 euros/year
## 1306 Middle class 60,001 - 70,000 euros/year
## 1307 Upper middle or upper class 80,001 - 90,000 euros/year
## 1308 Do not belong to any class 30,001 - 40,000 euros/year
## 1309 Upper middle or upper class Over 90,000 euros/year
## 1310 Middle class 30,001 - 40,000 euros/year
## 1311 Working class 20,001 - 30,000 euros/year
## 1312 Lower middle class 70,001 - 80,000 euros/year
## 1313 Upper middle or upper class 50,001 - 60,000 euros/year
## 1314 Upper middle or upper class <NA>
## 1315 Middle class 50,001 - 60,000 euros/year
## 1316 Upper middle or upper class Over 90,000 euros/year
## 1317 Lower middle class 40,001 - 50,000 euros/year
## 1318 Working class 30,001 - 40,000 euros/year
## 1319 Middle class 70,001 - 80,000 euros/year
## 1320 Do not belong to any class 50,001 - 60,000 euros/year
## 1321 Working class 80,001 - 90,000 euros/year
## 1322 Working class 20,001 - 30,000 euros/year
## 1323 Middle class 40,001 - 50,000 euros/year
## 1324 Working class Under 10,000 euros/year
## 1325 Do not belong to any class <NA>
## 1326 Lower middle class 50,001 - 60,000 euros/year
## 1327 Do not belong to any class <NA>
## 1328 Working class <NA>
## 1329 Lower middle class <NA>
## 1330 Working class 40,001 - 50,000 euros/year
## 1331 Middle class 60,001 - 70,000 euros/year
## 1332 Middle class 50,001 - 60,000 euros/year
## 1333 Working class 30,001 - 40,000 euros/year
## 1334 Lower middle class 50,001 - 60,000 euros/year
## 1335 Working class 30,001 - 40,000 euros/year
## 1336 Lower middle class Under 10,000 euros/year
## 1337 Working class 20,001 - 30,000 euros/year
## 1338 Middle class <NA>
## 1339 Do not belong to any class 70,001 - 80,000 euros/year
## 1340 Working class Under 10,000 euros/year
## 1341 Do not belong to any class Under 10,000 euros/year
## 1342 Upper middle or upper class 80,001 - 90,000 euros/year
## 1343 Working class 30,001 - 40,000 euros/year
## 1344 Middle class 70,001 - 80,000 euros/year
## 1345 Middle class 20,001 - 30,000 euros/year
## 1346 Working class 60,001 - 70,000 euros/year
## 1347 Middle class <NA>
## 1348 Working class <NA>
## 1349 Middle class <NA>
## 1350 Do not belong to any class <NA>
## 1351 Upper middle or upper class 30,001 - 40,000 euros/year
## 1352 Upper middle or upper class 40,001 - 50,000 euros/year
## 1353 Do not belong to any class <NA>
## 1354 Middle class <NA>
## 1355 Middle class Under 10,000 euros/year
## 1356 Lower middle class 80,001 - 90,000 euros/year
## 1357 Upper middle or upper class Over 90,000 euros/year
## 1358 Do not belong to any class 40,001 - 50,000 euros/year
## 1359 Working class 20,001 - 30,000 euros/year
## 1360 Lower middle class <NA>
## 1361 Working class 60,001 - 70,000 euros/year
## 1362 Middle class 30,001 - 40,000 euros/year
## 1363 Working class 20,001 - 30,000 euros/year
## 1364 Do not belong to any class 40,001 - 50,000 euros/year
## 1365 Middle class 50,001 - 60,000 euros/year
## 1366 Do not belong to any class <NA>
## 1367 Middle class Under 10,000 euros/year
## 1368 Middle class 60,001 - 70,000 euros/year
## 1369 Working class 40,001 - 50,000 euros/year
## 1370 Working class 50,001 - 60,000 euros/year
## 1371 Do not belong to any class 70,001 - 80,000 euros/year
## 1372 Working class <NA>
## 1373 Lower middle class 20,001 - 30,000 euros/year
## 1374 Working class <NA>
## 1375 Lower middle class 40,001 - 50,000 euros/year
## 1376 Working class 20,001 - 30,000 euros/year
## 1377 Working class 50,001 - 60,000 euros/year
## 1378 Middle class 60,001 - 70,000 euros/year
## 1379 Middle class 50,001 - 60,000 euros/year
## 1380 Working class 10,000 - 20,000 euros/year
## 1381 Lower middle class 40,001 - 50,000 euros/year
## 1382 Do not belong to any class Under 10,000 euros/year
## 1383 Upper middle or upper class 50,001 - 60,000 euros/year
## 1384 Do not belong to any class 80,001 - 90,000 euros/year
## 1385 Lower middle class 10,000 - 20,000 euros/year
## 1386 Do not belong to any class <NA>
## 1387 Working class 10,000 - 20,000 euros/year
## 1388 Middle class <NA>
## 1389 Working class 50,001 - 60,000 euros/year
## 1390 Middle class 70,001 - 80,000 euros/year
## 1391 Working class 30,001 - 40,000 euros/year
## 1392 Lower middle class Under 10,000 euros/year
## 1393 Middle class 50,001 - 60,000 euros/year
## 1394 Working class 40,001 - 50,000 euros/year
## 1395 Working class <NA>
## 1396 Middle class 40,001 - 50,000 euros/year
## 1397 Lower middle class <NA>
## 1398 Do not belong to any class 30,001 - 40,000 euros/year
## 1399 Working class Under 10,000 euros/year
## 1400 Upper middle or upper class Over 90,000 euros/year
## 1401 Do not belong to any class Under 10,000 euros/year
## 1402 Working class 10,000 - 20,000 euros/year
## 1403 Do not belong to any class 10,000 - 20,000 euros/year
## 1404 Working class 10,000 - 20,000 euros/year
## 1405 Upper middle or upper class Over 90,000 euros/year
## 1406 Middle class 50,001 - 60,000 euros/year
## 1407 Do not belong to any class 30,001 - 40,000 euros/year
## 1408 Working class 10,000 - 20,000 euros/year
## 1409 Middle class 20,001 - 30,000 euros/year
## 1410 Middle class 30,001 - 40,000 euros/year
## 1411 Middle class 70,001 - 80,000 euros/year
## 1412 Middle class 60,001 - 70,000 euros/year
## 1413 Middle class 80,001 - 90,000 euros/year
## 1414 Middle class <NA>
## 1415 Working class 30,001 - 40,000 euros/year
## 1416 Working class 50,001 - 60,000 euros/year
## 1417 Lower middle class 80,001 - 90,000 euros/year
## 1418 Working class 40,001 - 50,000 euros/year
## 1419 Lower middle class 60,001 - 70,000 euros/year
## 1420 Middle class 70,001 - 80,000 euros/year
## 1421 Do not belong to any class <NA>
## 1422 Do not belong to any class 10,000 - 20,000 euros/year
## 1423 Upper middle or upper class Over 90,000 euros/year
## 1424 Upper middle or upper class 40,001 - 50,000 euros/year
## 1425 Do not belong to any class <NA>
## 1426 Do not belong to any class 30,001 - 40,000 euros/year
## 1427 Middle class 30,001 - 40,000 euros/year
## 1428 Middle class 40,001 - 50,000 euros/year
## 1429 Lower middle class 30,001 - 40,000 euros/year
## 1430 Do not belong to any class 10,000 - 20,000 euros/year
## 1431 Working class 40,001 - 50,000 euros/year
## 1432 Middle class 60,001 - 70,000 euros/year
## 1433 Do not belong to any class Under 10,000 euros/year
## 1434 Do not belong to any class 30,001 - 40,000 euros/year
## 1435 Middle class Over 90,000 euros/year
## 1436 Do not belong to any class 10,000 - 20,000 euros/year
## 1437 Middle class 70,001 - 80,000 euros/year
## 1438 Lower middle class 10,000 - 20,000 euros/year
## 1439 Lower middle class 20,001 - 30,000 euros/year
## 1440 Lower middle class 30,001 - 40,000 euros/year
## 1441 Middle class 70,001 - 80,000 euros/year
## 1442 Do not belong to any class 10,000 - 20,000 euros/year
## 1443 Lower middle class 70,001 - 80,000 euros/year
## 1444 Do not belong to any class 50,001 - 60,000 euros/year
## 1445 Middle class 40,001 - 50,000 euros/year
## 1446 Working class 20,001 - 30,000 euros/year
## 1447 Do not belong to any class 10,000 - 20,000 euros/year
## 1448 Middle class Over 90,000 euros/year
## 1449 Middle class 40,001 - 50,000 euros/year
## 1450 Do not belong to any class 20,001 - 30,000 euros/year
## 1451 Upper middle or upper class 50,001 - 60,000 euros/year
## 1452 Upper middle or upper class 40,001 - 50,000 euros/year
## 1453 Lower middle class 30,001 - 40,000 euros/year
## 1454 Do not belong to any class <NA>
## 1455 Lower middle class Under 10,000 euros/year
## 1456 Working class 30,001 - 40,000 euros/year
## 1457 Middle class 80,001 - 90,000 euros/year
## 1458 Middle class 50,001 - 60,000 euros/year
## 1459 Middle class 10,000 - 20,000 euros/year
## 1460 Do not belong to any class 20,001 - 30,000 euros/year
## 1461 Lower middle class 30,001 - 40,000 euros/year
## 1462 Do not belong to any class 10,000 - 20,000 euros/year
## 1463 Middle class 70,001 - 80,000 euros/year
## 1464 Working class 70,001 - 80,000 euros/year
## 1465 Working class 30,001 - 40,000 euros/year
## 1466 Middle class 80,001 - 90,000 euros/year
## 1467 Middle class Over 90,000 euros/year
## 1468 Lower middle class <NA>
## 1469 Middle class Under 10,000 euros/year
## 1470 Working class 40,001 - 50,000 euros/year
## 1471 Lower middle class 10,000 - 20,000 euros/year
## 1472 Do not belong to any class Over 90,000 euros/year
## 1473 Upper middle or upper class Over 90,000 euros/year
## 1474 Middle class 40,001 - 50,000 euros/year
## 1475 Working class 30,001 - 40,000 euros/year
## 1476 Working class 10,000 - 20,000 euros/year
## 1477 Middle class 30,001 - 40,000 euros/year
## 1478 Middle class 80,001 - 90,000 euros/year
## 1479 Middle class 30,001 - 40,000 euros/year
## 1480 Working class 40,001 - 50,000 euros/year
## 1481 Middle class 40,001 - 50,000 euros/year
## 1482 Middle class 80,001 - 90,000 euros/year
## 1483 Middle class Over 90,000 euros/year
## 1484 Do not belong to any class 10,000 - 20,000 euros/year
## 1485 Do not belong to any class 60,001 - 70,000 euros/year
## 1486 Lower middle class 30,001 - 40,000 euros/year
## 1487 Working class 10,000 - 20,000 euros/year
## 1488 Upper middle or upper class 60,001 - 70,000 euros/year
## 1489 Working class 10,000 - 20,000 euros/year
## 1490 Working class Under 10,000 euros/year
## 1491 Middle class 30,001 - 40,000 euros/year
## 1492 Middle class <NA>
## 1493 Middle class 30,001 - 40,000 euros/year
## 1494 Working class Under 10,000 euros/year
## 1495 Do not belong to any class 30,001 - 40,000 euros/year
## 1496 Upper middle or upper class <NA>
## 1497 Do not belong to any class 40,001 - 50,000 euros/year
## 1498 Working class 30,001 - 40,000 euros/year
## 1499 Middle class 10,000 - 20,000 euros/year
## 1500 Upper middle or upper class Over 90,000 euros/year
## 1501 Working class Under 10,000 euros/year
## 1502 Middle class 10,000 - 20,000 euros/year
## 1503 Lower middle class 60,001 - 70,000 euros/year
## 1504 Upper middle or upper class 30,001 - 40,000 euros/year
## 1505 Middle class <NA>
## 1506 Do not belong to any class 20,001 - 30,000 euros/year
## 1507 Upper middle or upper class Over 90,000 euros/year
## 1508 Upper middle or upper class 40,001 - 50,000 euros/year
## 1509 Lower middle class Under 10,000 euros/year
## 1510 Do not belong to any class 60,001 - 70,000 euros/year
## 1511 Upper middle or upper class 50,001 - 60,000 euros/year
## 1512 Working class 60,001 - 70,000 euros/year
## 1513 Middle class 50,001 - 60,000 euros/year
## 1514 Working class 20,001 - 30,000 euros/year
## 1515 Working class 40,001 - 50,000 euros/year
## 1516 Upper middle or upper class Under 10,000 euros/year
## 1517 Working class 10,000 - 20,000 euros/year
## 1518 Middle class 70,001 - 80,000 euros/year
## 1519 Middle class 50,001 - 60,000 euros/year
## 1520 Middle class 30,001 - 40,000 euros/year
## 1521 Do not belong to any class 10,000 - 20,000 euros/year
## 1522 Upper middle or upper class 70,001 - 80,000 euros/year
## 1523 Working class 50,001 - 60,000 euros/year
## 1524 Do not belong to any class 70,001 - 80,000 euros/year
## 1525 Working class 20,001 - 30,000 euros/year
## 1526 Middle class 60,001 - 70,000 euros/year
## 1527 Upper middle or upper class 30,001 - 40,000 euros/year
## 1528 Lower middle class 20,001 - 30,000 euros/year
## 1529 Working class 10,000 - 20,000 euros/year
## 1530 Working class 30,001 - 40,000 euros/year
## 1531 Working class 30,001 - 40,000 euros/year
## 1532 Working class Under 10,000 euros/year
## 1533 Upper middle or upper class Over 90,000 euros/year
## 1534 Middle class 50,001 - 60,000 euros/year
## 1535 Middle class 60,001 - 70,000 euros/year
## 1536 Working class 40,001 - 50,000 euros/year
## 1537 Upper middle or upper class 80,001 - 90,000 euros/year
## 1538 Lower middle class 50,001 - 60,000 euros/year
## 1539 Middle class Over 90,000 euros/year
## 1540 Lower middle class 30,001 - 40,000 euros/year
## 1541 Upper middle or upper class Over 90,000 euros/year
## 1542 Working class 70,001 - 80,000 euros/year
## 1543 Middle class 60,001 - 70,000 euros/year
## 1544 Working class 60,001 - 70,000 euros/year
## 1545 Lower middle class 30,001 - 40,000 euros/year
## 1546 Middle class 70,001 - 80,000 euros/year
## 1547 Upper middle or upper class 80,001 - 90,000 euros/year
## 1548 Upper middle or upper class Over 90,000 euros/year
## 1549 Lower middle class 30,001 - 40,000 euros/year
## 1550 Middle class 40,001 - 50,000 euros/year
## 1551 Working class 70,001 - 80,000 euros/year
## 1552 Middle class 60,001 - 70,000 euros/year
## 1553 Do not belong to any class 40,001 - 50,000 euros/year
## 1554 Lower middle class 30,001 - 40,000 euros/year
## 1555 Working class <NA>
## 1556 Working class Under 10,000 euros/year
## 1557 Do not belong to any class Over 90,000 euros/year
## 1558 Middle class 30,001 - 40,000 euros/year
## 1559 Working class 30,001 - 40,000 euros/year
## 1560 Upper middle or upper class <NA>
## 1561 Middle class 50,001 - 60,000 euros/year
## 1562 Do not belong to any class 50,001 - 60,000 euros/year
## 1563 Upper middle or upper class 10,000 - 20,000 euros/year
## 1564 Working class <NA>
## 1565 Do not belong to any class <NA>
## 1566 Upper middle or upper class 70,001 - 80,000 euros/year
## 1567 Working class 40,001 - 50,000 euros/year
## 1568 Middle class 70,001 - 80,000 euros/year
## 1569 Middle class Under 10,000 euros/year
## 1570 Do not belong to any class <NA>
## 1571 Working class Under 10,000 euros/year
## 1572 Do not belong to any class 30,001 - 40,000 euros/year
## 1573 Do not belong to any class 20,001 - 30,000 euros/year
## 1574 Working class 10,000 - 20,000 euros/year
## 1575 Lower middle class 50,001 - 60,000 euros/year
## 1576 Working class Under 10,000 euros/year
## 1577 Do not belong to any class 70,001 - 80,000 euros/year
## 1578 Do not belong to any class Under 10,000 euros/year
## 1579 Do not belong to any class 50,001 - 60,000 euros/year
## 1580 Middle class 70,001 - 80,000 euros/year
## 1581 Middle class 40,001 - 50,000 euros/year
## 1582 Lower middle class 40,001 - 50,000 euros/year
## 1583 Do not belong to any class Under 10,000 euros/year
## 1584 Lower middle class 60,001 - 70,000 euros/year
## 1585 Working class 60,001 - 70,000 euros/year
## 1586 Working class 20,001 - 30,000 euros/year
## 1587 Do not belong to any class 10,000 - 20,000 euros/year
## 1588 Working class 10,000 - 20,000 euros/year
## 1589 Do not belong to any class 30,001 - 40,000 euros/year
## 1590 Do not belong to any class 10,000 - 20,000 euros/year
## 1591 Middle class 40,001 - 50,000 euros/year
## 1592 Upper middle or upper class 50,001 - 60,000 euros/year
## 1593 Working class 20,001 - 30,000 euros/year
## 1594 Middle class 10,000 - 20,000 euros/year
## 1595 Middle class <NA>
## 1596 Lower middle class 30,001 - 40,000 euros/year
## 1597 Do not belong to any class 60,001 - 70,000 euros/year
## 1598 Middle class Over 90,000 euros/year
## 1599 Working class 60,001 - 70,000 euros/year
## 1600 Working class 30,001 - 40,000 euros/year
## 1601 Upper middle or upper class <NA>
## 1602 Middle class 10,000 - 20,000 euros/year
## 1603 Do not belong to any class <NA>
## 1604 Middle class Under 10,000 euros/year
## 1605 Do not belong to any class Under 10,000 euros/year
## 1606 Working class 10,000 - 20,000 euros/year
## 1607 Working class 10,000 - 20,000 euros/year
## 1608 Working class 30,001 - 40,000 euros/year
## 1609 Working class <NA>
## 1610 Do not belong to any class Under 10,000 euros/year
## 1611 Upper middle or upper class 10,000 - 20,000 euros/year
## 1612 Upper middle or upper class Under 10,000 euros/year
## 1613 Working class 60,001 - 70,000 euros/year
## 1614 Middle class 60,001 - 70,000 euros/year
## 1615 Middle class 50,001 - 60,000 euros/year
## 1616 Working class Under 10,000 euros/year
## 1617 Do not belong to any class 50,001 - 60,000 euros/year
## 1618 Middle class <NA>
## 1619 Middle class 30,001 - 40,000 euros/year
## 1620 Do not belong to any class <NA>
## 1621 Working class 10,000 - 20,000 euros/year
## 1622 Working class 10,000 - 20,000 euros/year
## 1623 Do not belong to any class Under 10,000 euros/year
## 1624 Middle class 40,001 - 50,000 euros/year
## 1625 Lower middle class Under 10,000 euros/year
## 1626 Middle class 30,001 - 40,000 euros/year
## 1627 Working class 30,001 - 40,000 euros/year
## 1628 Middle class <NA>
## 1629 Do not belong to any class 30,001 - 40,000 euros/year
## 1630 Lower middle class 10,000 - 20,000 euros/year
## 1631 Middle class <NA>
## 1632 Working class 20,001 - 30,000 euros/year
## 1633 Middle class 20,001 - 30,000 euros/year
## 1634 Upper middle or upper class Under 10,000 euros/year
## 1635 Working class <NA>
## 1636 Middle class <NA>
## 1637 Middle class 80,001 - 90,000 euros/year
## 1638 Working class 10,000 - 20,000 euros/year
## 1639 Do not belong to any class 20,001 - 30,000 euros/year
## 1640 Do not belong to any class Under 10,000 euros/year
## 1641 Middle class Under 10,000 euros/year
## 1642 Lower middle class 20,001 - 30,000 euros/year
## 1643 Do not belong to any class 40,001 - 50,000 euros/year
## 1644 Middle class 10,000 - 20,000 euros/year
## 1645 Do not belong to any class 80,001 - 90,000 euros/year
## 1646 Upper middle or upper class 60,001 - 70,000 euros/year
## 1647 Working class Under 10,000 euros/year
## 1648 Working class <NA>
## 1649 Do not belong to any class <NA>
## 1650 Lower middle class 10,000 - 20,000 euros/year
## 1651 Working class 40,001 - 50,000 euros/year
## 1652 Do not belong to any class 20,001 - 30,000 euros/year
## 1653 Middle class Over 90,000 euros/year
## 1654 Middle class Under 10,000 euros/year
## 1655 Do not belong to any class <NA>
## 1656 Upper middle or upper class 50,001 - 60,000 euros/year
## 1657 Do not belong to any class 10,000 - 20,000 euros/year
## 1658 Do not belong to any class 10,000 - 20,000 euros/year
## 1659 Middle class 40,001 - 50,000 euros/year
## 1660 Do not belong to any class <NA>
## 1661 Do not belong to any class 10,000 - 20,000 euros/year
## 1662 Do not belong to any class Under 10,000 euros/year
## 1663 Working class 10,000 - 20,000 euros/year
## 1664 Middle class 50,001 - 60,000 euros/year
## 1665 Do not belong to any class 10,000 - 20,000 euros/year
## 1666 Working class Under 10,000 euros/year
## 1667 Lower middle class 30,001 - 40,000 euros/year
## 1668 Lower middle class 10,000 - 20,000 euros/year
## 1669 Do not belong to any class Under 10,000 euros/year
## 1670 Middle class 20,001 - 30,000 euros/year
## 1671 Do not belong to any class Under 10,000 euros/year
## 1672 Lower middle class 40,001 - 50,000 euros/year
## 1673 Lower middle class 10,000 - 20,000 euros/year
## 1674 Lower middle class <NA>
## 1675 Lower middle class Under 10,000 euros/year
## 1676 Do not belong to any class <NA>
## 1677 Middle class 60,001 - 70,000 euros/year
## 1678 Do not belong to any class <NA>
## 1679 Do not belong to any class 10,000 - 20,000 euros/year
## 1680 Upper middle or upper class Over 90,000 euros/year
## 1681 Do not belong to any class <NA>
## 1682 Middle class 50,001 - 60,000 euros/year
## 1683 Lower middle class 60,001 - 70,000 euros/year
## 1684 Middle class 30,001 - 40,000 euros/year
## 1685 Working class 40,001 - 50,000 euros/year
## 1686 Working class Under 10,000 euros/year
## 1687 Upper middle or upper class <NA>
## 1688 Working class Under 10,000 euros/year
## 1689 Middle class Under 10,000 euros/year
## 1690 Upper middle or upper class 40,001 - 50,000 euros/year
## 1691 Upper middle or upper class 80,001 - 90,000 euros/year
## 1692 Do not belong to any class 10,000 - 20,000 euros/year
## 1693 Middle class 80,001 - 90,000 euros/year
## 1694 Lower middle class 20,001 - 30,000 euros/year
## 1695 Middle class 20,001 - 30,000 euros/year
## 1696 Middle class Under 10,000 euros/year
## 1697 Middle class Over 90,000 euros/year
## 1698 Middle class 20,001 - 30,000 euros/year
## 1699 Working class 60,001 - 70,000 euros/year
## 1700 Upper middle or upper class Over 90,000 euros/year
## 1701 Upper middle or upper class 50,001 - 60,000 euros/year
## 1702 Do not belong to any class Under 10,000 euros/year
## 1703 Middle class Over 90,000 euros/year
## 1704 Do not belong to any class 10,000 - 20,000 euros/year
## 1705 Do not belong to any class 10,000 - 20,000 euros/year
## 1706 Do not belong to any class 20,001 - 30,000 euros/year
## 1707 Middle class 40,001 - 50,000 euros/year
## 1708 Do not belong to any class 70,001 - 80,000 euros/year
## 1709 Working class 10,000 - 20,000 euros/year
## 1710 Do not belong to any class 20,001 - 30,000 euros/year
## 1711 Do not belong to any class <NA>
## 1712 Working class 20,001 - 30,000 euros/year
## 1713 Lower middle class 10,000 - 20,000 euros/year
## 1714 Middle class Over 90,000 euros/year
## 1715 Middle class 80,001 - 90,000 euros/year
## 1716 Do not belong to any class 10,000 - 20,000 euros/year
## 1717 Lower middle class 10,000 - 20,000 euros/year
## 1718 Do not belong to any class 60,001 - 70,000 euros/year
## 1719 Working class 50,001 - 60,000 euros/year
## 1720 Middle class <NA>
## 1721 Upper middle or upper class Over 90,000 euros/year
## 1722 Do not belong to any class Under 10,000 euros/year
## 1723 Lower middle class 10,000 - 20,000 euros/year
## 1724 Middle class 10,000 - 20,000 euros/year
## 1725 Upper middle or upper class 80,001 - 90,000 euros/year
## 1726 Working class 60,001 - 70,000 euros/year
## 1727 Middle class Under 10,000 euros/year
## 1728 Lower middle class Under 10,000 euros/year
## 1729 Middle class 40,001 - 50,000 euros/year
## 1730 Middle class 60,001 - 70,000 euros/year
## 1731 Middle class 10,000 - 20,000 euros/year
## 1732 Upper middle or upper class 50,001 - 60,000 euros/year
## 1733 Middle class Over 90,000 euros/year
## 1734 Do not belong to any class 30,001 - 40,000 euros/year
## 1735 Working class 20,001 - 30,000 euros/year
## 1736 Upper middle or upper class 50,001 - 60,000 euros/year
## 1737 Upper middle or upper class 70,001 - 80,000 euros/year
## 1738 Working class 50,001 - 60,000 euros/year
## 1739 Working class 10,000 - 20,000 euros/year
## 1740 Middle class 80,001 - 90,000 euros/year
## 1741 Middle class Under 10,000 euros/year
## 1742 Upper middle or upper class 20,001 - 30,000 euros/year
## 1743 Middle class Under 10,000 euros/year
## 1744 Working class <NA>
## 1745 Middle class Under 10,000 euros/year
## 1746 Upper middle or upper class Over 90,000 euros/year
## 1747 Do not belong to any class 10,000 - 20,000 euros/year
## 1748 Middle class 50,001 - 60,000 euros/year
## 1749 Middle class Under 10,000 euros/year
## 1750 Lower middle class 20,001 - 30,000 euros/year
## 1751 Working class 10,000 - 20,000 euros/year
## 1752 Middle class 80,001 - 90,000 euros/year
## 1753 Middle class 30,001 - 40,000 euros/year
## 1754 Middle class 50,001 - 60,000 euros/year
## 1755 Middle class 30,001 - 40,000 euros/year
## 1756 Do not belong to any class <NA>
## 1757 Upper middle or upper class Under 10,000 euros/year
## 1758 Middle class Over 90,000 euros/year
## 1759 Upper middle or upper class Under 10,000 euros/year
## 1760 Working class Under 10,000 euros/year
## 1761 Working class 30,001 - 40,000 euros/year
## 1762 Middle class 20,001 - 30,000 euros/year
## 1763 Working class <NA>
## 1764 Working class 50,001 - 60,000 euros/year
## 1765 Middle class 10,000 - 20,000 euros/year
## 1766 Middle class 30,001 - 40,000 euros/year
## 1767 Do not belong to any class 70,001 - 80,000 euros/year
## 1768 Working class 30,001 - 40,000 euros/year
## 1769 Lower middle class 20,001 - 30,000 euros/year
## 1770 Working class 60,001 - 70,000 euros/year
## 1771 Middle class 50,001 - 60,000 euros/year
## 1772 Lower middle class Under 10,000 euros/year
## 1773 Middle class 20,001 - 30,000 euros/year
## 1774 Do not belong to any class Under 10,000 euros/year
## 1775 Middle class <NA>
## 1776 Working class 30,001 - 40,000 euros/year
## 1777 Lower middle class <NA>
## 1778 Upper middle or upper class 40,001 - 50,000 euros/year
## 1779 Middle class 10,000 - 20,000 euros/year
## 1780 Upper middle or upper class 10,000 - 20,000 euros/year
## 1781 Upper middle or upper class <NA>
## 1782 Middle class 30,001 - 40,000 euros/year
## 1783 Upper middle or upper class Over 90,000 euros/year
## 1784 Middle class <NA>
## 1785 Middle class Under 10,000 euros/year
## 1786 Working class 30,001 - 40,000 euros/year
## 1787 Middle class 80,001 - 90,000 euros/year
## 1788 Middle class Under 10,000 euros/year
## 1789 Upper middle or upper class <NA>
## 1790 Middle class <NA>
## 1791 Do not belong to any class Under 10,000 euros/year
## 1792 Upper middle or upper class <NA>
## 1793 Middle class 80,001 - 90,000 euros/year
## 1794 Middle class 60,001 - 70,000 euros/year
## 1795 Middle class 70,001 - 80,000 euros/year
## 1796 Middle class Under 10,000 euros/year
## 1797 Do not belong to any class <NA>
## 1798 Lower middle class 30,001 - 40,000 euros/year
## 1799 Middle class 60,001 - 70,000 euros/year
## 1800 Upper middle or upper class 10,000 - 20,000 euros/year
## 1801 Upper middle or upper class <NA>
## 1802 Lower middle class <NA>
## 1803 Do not belong to any class 70,001 - 80,000 euros/year
## 1804 Middle class 20,001 - 30,000 euros/year
## 1805 Do not belong to any class <NA>
## 1806 Middle class Under 10,000 euros/year
## 1807 Do not belong to any class Under 10,000 euros/year
## 1808 Do not belong to any class 60,001 - 70,000 euros/year
## 1809 Middle class 10,000 - 20,000 euros/year
## 1810 Middle class Under 10,000 euros/year
## 1811 Lower middle class 20,001 - 30,000 euros/year
## 1812 Lower middle class <NA>
## 1813 Middle class 70,001 - 80,000 euros/year
## 1814 Upper middle or upper class 70,001 - 80,000 euros/year
## 1815 Lower middle class 20,001 - 30,000 euros/year
## 1816 Do not belong to any class 30,001 - 40,000 euros/year
## 1817 Upper middle or upper class Over 90,000 euros/year
## 1818 Do not belong to any class <NA>
## 1819 Do not belong to any class 20,001 - 30,000 euros/year
## 1820 Middle class 70,001 - 80,000 euros/year
## 1821 Lower middle class Under 10,000 euros/year
## 1822 Upper middle or upper class 80,001 - 90,000 euros/year
## 1823 Upper middle or upper class 50,001 - 60,000 euros/year
## 1824 Do not belong to any class Over 90,000 euros/year
## 1825 Middle class 40,001 - 50,000 euros/year
## 1826 Lower middle class 10,000 - 20,000 euros/year
## 1827 Lower middle class 50,001 - 60,000 euros/year
## 1828 Working class 20,001 - 30,000 euros/year
## 1829 Lower middle class 30,001 - 40,000 euros/year
## 1830 Middle class 10,000 - 20,000 euros/year
## 1831 Middle class 40,001 - 50,000 euros/year
## 1832 Working class 50,001 - 60,000 euros/year
## 1833 Do not belong to any class Under 10,000 euros/year
## 1834 Lower middle class <NA>
## 1835 Upper middle or upper class Under 10,000 euros/year
## 1836 Lower middle class 30,001 - 40,000 euros/year
## 1837 Working class <NA>
## 1838 Lower middle class 20,001 - 30,000 euros/year
## 1839 Do not belong to any class Under 10,000 euros/year
## 1840 Do not belong to any class Under 10,000 euros/year
## 1841 Lower middle class 30,001 - 40,000 euros/year
## 1842 Middle class 80,001 - 90,000 euros/year
## 1843 Middle class Under 10,000 euros/year
## 1844 Middle class 60,001 - 70,000 euros/year
## 1845 Upper middle or upper class Over 90,000 euros/year
## 1846 Upper middle or upper class Under 10,000 euros/year
## 1847 Middle class <NA>
## 1848 Middle class Over 90,000 euros/year
## 1849 Do not belong to any class 80,001 - 90,000 euros/year
## 1850 Middle class 40,001 - 50,000 euros/year
## 1851 Upper middle or upper class 80,001 - 90,000 euros/year
## 1852 Middle class <NA>
## 1853 Do not belong to any class 10,000 - 20,000 euros/year
## 1854 Do not belong to any class 10,000 - 20,000 euros/year
## 1855 Upper middle or upper class Over 90,000 euros/year
## 1856 Lower middle class Under 10,000 euros/year
## 1857 Middle class Under 10,000 euros/year
## 1858 Do not belong to any class Under 10,000 euros/year
## 1859 Do not belong to any class 20,001 - 30,000 euros/year
## 1860 Working class 30,001 - 40,000 euros/year
## 1861 Middle class 10,000 - 20,000 euros/year
## 1862 Do not belong to any class 10,000 - 20,000 euros/year
## 1863 Middle class 30,001 - 40,000 euros/year
## 1864 Middle class 60,001 - 70,000 euros/year
## 1865 Do not belong to any class 10,000 - 20,000 euros/year
## 1866 Middle class 20,001 - 30,000 euros/year
## 1867 Do not belong to any class 10,000 - 20,000 euros/year
## 1868 Middle class Under 10,000 euros/year
## 1869 Working class 30,001 - 40,000 euros/year
## 1870 Working class Under 10,000 euros/year
## 1871 Do not belong to any class 30,001 - 40,000 euros/year
## 1872 Middle class 10,000 - 20,000 euros/year
## 1873 Middle class <NA>
## 1874 Working class Under 10,000 euros/year
## 1875 Middle class Over 90,000 euros/year
## 1876 Middle class <NA>
## 1877 Working class 10,000 - 20,000 euros/year
## 1878 Lower middle class 50,001 - 60,000 euros/year
## 1879 Lower middle class 50,001 - 60,000 euros/year
## 1880 Middle class 70,001 - 80,000 euros/year
## 1881 Upper middle or upper class <NA>
## 1882 Do not belong to any class 70,001 - 80,000 euros/year
## 1883 Lower middle class 80,001 - 90,000 euros/year
## 1884 Upper middle or upper class <NA>
## 1885 Do not belong to any class Under 10,000 euros/year
## 1886 Working class Under 10,000 euros/year
## 1887 Do not belong to any class 10,000 - 20,000 euros/year
## 1888 Middle class Under 10,000 euros/year
## 1889 Working class 40,001 - 50,000 euros/year
## 1890 Middle class 10,000 - 20,000 euros/year
## 1891 Middle class <NA>
## 1892 Middle class 40,001 - 50,000 euros/year
## 1893 Working class 20,001 - 30,000 euros/year
## 1894 Working class 20,001 - 30,000 euros/year
## 1895 Working class <NA>
## 1896 Middle class 50,001 - 60,000 euros/year
## 1897 Middle class <NA>
## 1898 Middle class 10,000 - 20,000 euros/year
## 1899 Lower middle class 10,000 - 20,000 euros/year
## 1900 Upper middle or upper class 60,001 - 70,000 euros/year
## 1901 Do not belong to any class <NA>
## 1902 Middle class 30,001 - 40,000 euros/year
## 1903 Working class Under 10,000 euros/year
## 1904 Upper middle or upper class Over 90,000 euros/year
## 1905 Lower middle class <NA>
## 1906 Do not belong to any class <NA>
## 1907 Do not belong to any class <NA>
## 1908 Lower middle class 10,000 - 20,000 euros/year
## 1909 Middle class 70,001 - 80,000 euros/year
## 1910 Lower middle class 50,001 - 60,000 euros/year
## 1911 Lower middle class 20,001 - 30,000 euros/year
## 1912 Middle class 20,001 - 30,000 euros/year
## 1913 Upper middle or upper class 40,001 - 50,000 euros/year
## 1914 Do not belong to any class 10,000 - 20,000 euros/year
## 1915 Working class 10,000 - 20,000 euros/year
## 1916 Middle class 50,001 - 60,000 euros/year
## 1917 Working class 70,001 - 80,000 euros/year
## 1918 Lower middle class Under 10,000 euros/year
## 1919 Working class 10,000 - 20,000 euros/year
## 1920 Working class 30,001 - 40,000 euros/year
## 1921 Working class 10,000 - 20,000 euros/year
## 1922 Working class Over 90,000 euros/year
## 1923 Middle class 70,001 - 80,000 euros/year
## 1924 Middle class 60,001 - 70,000 euros/year
## 1925 Lower middle class 40,001 - 50,000 euros/year
## 1926 Middle class 30,001 - 40,000 euros/year
## 1927 Do not belong to any class Under 10,000 euros/year
## 1928 Working class 30,001 - 40,000 euros/year
## 1929 Middle class Under 10,000 euros/year
## 1930 Middle class 40,001 - 50,000 euros/year
## 1931 Upper middle or upper class Over 90,000 euros/year
## 1932 Working class <NA>
## 1933 Do not belong to any class 40,001 - 50,000 euros/year
## 1934 Do not belong to any class 10,000 - 20,000 euros/year
## 1935 Working class 30,001 - 40,000 euros/year
## 1936 Lower middle class <NA>
## 1937 Do not belong to any class 10,000 - 20,000 euros/year
## 1938 Working class 10,000 - 20,000 euros/year# pass their names to an object
enter_vars <- happyfin %>% select(ends_with("enter")) %>% colnames()
enter_vars_happy <- happyfin %>% select(if_autonomy_enter:mindfulness_enter) %>% colnames()#generate the formula for logistic regression
formula_all_vars <- as.formula(paste('if_feel_happy ~', paste(enter_vars, collapse='+')))
fit_all_vars <- glm(formula_all_vars, family = binomial, data = happyfin)
summary(fit_all_vars)##
## Call:
## glm(formula = formula_all_vars, family = binomial, data = happyfin)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.6795 0.2933 0.4827 0.6711 1.7887
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) -1.087874 0.679697 -1.601
## gender_enterFemale 0.280410 0.146802 1.910
## gender_enterOther -0.065565 0.642803 -0.102
## age_enterOver 55 years 0.607580 0.162957 3.728
## if_autonomy_enter1 -0.104796 0.258229 -0.406
## if_accomplishment_enter1 0.621778 0.286765 2.168
## attitude_emph_num_enter -0.008682 0.138253 -0.063
## relationship_enter 0.157053 0.082427 1.905
## productivity_enter 0.036591 0.089945 0.407
## autonomy_enter 0.149175 0.110211 1.354
## accomplishment_enter -0.273270 0.128943 -2.119
## mindfulness_enter 0.189562 0.089619 2.115
## alco_family_state_enteralco_nonalcofamily -0.821807 0.620673 -1.324
## alco_family_state_enternon_alco_nonalcofamily 0.066446 0.494100 0.134
## alco_family_state_enternonalco_alcofamily -0.044244 0.515518 -0.086
## resi_population_enterOver 8,000 inhabitants -0.068271 0.204438 -0.334
## employer_enterPaid work 0.342392 0.234318 1.461
## education_basic_enterUpper secondary education 0.119792 0.165125 0.725
## education_prof_enterNo vocational education -0.506390 0.236115 -2.145
## social_class_enterLower middle class 0.438484 0.239928 1.828
## social_class_enterMiddle class 0.796756 0.215254 3.701
## social_class_enterUpper middle or upper class 1.328547 0.354329 3.749
## social_class_enterWorking class 0.260742 0.200252 1.302
## househould_income_enter10,000 - 20,000 euros/year 1.044658 0.291265 3.587
## househould_income_enter20,001 - 30,000 euros/year 0.879721 0.289768 3.036
## househould_income_enter30,001 - 40,000 euros/year 0.852073 0.275215 3.096
## househould_income_enter40,001 - 50,000 euros/year 1.120804 0.299115 3.747
## househould_income_enter50,001 - 60,000 euros/year 1.738722 0.344215 5.051
## househould_income_enter60,001 - 70,000 euros/year 1.544564 0.336791 4.586
## househould_income_enter70,001 - 80,000 euros/year 1.589027 0.387827 4.097
## househould_income_enter80,001 - 90,000 euros/year 1.795188 0.476001 3.771
## househould_income_enterOver 90,000 euros/year 1.600072 0.426693 3.750
## Pr(>|z|)
## (Intercept) 0.109482
## gender_enterFemale 0.056117 .
## gender_enterOther 0.918758
## age_enterOver 55 years 0.000193 ***
## if_autonomy_enter1 0.684872
## if_accomplishment_enter1 0.030140 *
## attitude_emph_num_enter 0.949927
## relationship_enter 0.056734 .
## productivity_enter 0.684147
## autonomy_enter 0.175884
## accomplishment_enter 0.034065 *
## mindfulness_enter 0.034414 *
## alco_family_state_enteralco_nonalcofamily 0.185484
## alco_family_state_enternon_alco_nonalcofamily 0.893024
## alco_family_state_enternonalco_alcofamily 0.931605
## resi_population_enterOver 8,000 inhabitants 0.738422
## employer_enterPaid work 0.143954
## education_basic_enterUpper secondary education 0.468166
## education_prof_enterNo vocational education 0.031979 *
## social_class_enterLower middle class 0.067615 .
## social_class_enterMiddle class 0.000214 ***
## social_class_enterUpper middle or upper class 0.000177 ***
## social_class_enterWorking class 0.192891
## househould_income_enter10,000 - 20,000 euros/year 0.000335 ***
## househould_income_enter20,001 - 30,000 euros/year 0.002398 **
## househould_income_enter30,001 - 40,000 euros/year 0.001961 **
## househould_income_enter40,001 - 50,000 euros/year 0.000179 ***
## househould_income_enter50,001 - 60,000 euros/year 4.39e-07 ***
## househould_income_enter60,001 - 70,000 euros/year 4.52e-06 ***
## househould_income_enter70,001 - 80,000 euros/year 4.18e-05 ***
## househould_income_enter80,001 - 90,000 euros/year 0.000162 ***
## househould_income_enterOver 90,000 euros/year 0.000177 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1528.1 on 1522 degrees of freedom
## Residual deviance: 1331.0 on 1491 degrees of freedom
## (415 observations deleted due to missingness)
## AIC: 1395
##
## Number of Fisher Scoring iterations: 5##
formula_happy_vars <- as.formula(paste('if_feel_happy ~', paste(enter_vars_happy, collapse='+')))
fit_happy_vars <- glm(formula_happy_vars, family = binomial, data = happyfin)
summary(fit_happy_vars)##
## Call:
## glm(formula = formula_happy_vars, family = binomial, data = happyfin)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.1374 0.5174 0.6145 0.6998 1.2360
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.28376 0.24667 5.204 1.95e-07 ***
## if_autonomy_enter1 -0.22668 0.21431 -1.058 0.29020
## if_accomplishment_enter1 0.49949 0.23535 2.122 0.03381 *
## attitude_emph_num_enter -0.01192 0.11205 -0.106 0.91529
## relationship_enter 0.28348 0.06644 4.267 1.98e-05 ***
## productivity_enter 0.08021 0.07229 1.110 0.26720
## autonomy_enter 0.17368 0.09236 1.880 0.06005 .
## accomplishment_enter -0.10247 0.10375 -0.988 0.32333
## mindfulness_enter 0.19194 0.07109 2.700 0.00694 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1916.2 on 1883 degrees of freedom
## Residual deviance: 1867.9 on 1875 degrees of freedom
## (54 observations deleted due to missingness)
## AIC: 1885.9
##
## Number of Fisher Scoring iterations: 4fit0 <- happyfin %>%
glm(if_feel_happy ~ relationship + accomplishment + autonomy + productivity + mindfulness + gender + age, family = binomial, data = .)
table(happyfin$if_feel_happy)##
## unhappy happy
## 407 1531summary(fit0)##
## Call:
## glm(formula = if_feel_happy ~ relationship + accomplishment +
## autonomy + productivity + mindfulness + gender + age, family = binomial,
## data = .)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.4110 0.4101 0.5938 0.7186 1.4775
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.34471 0.19505 6.894 5.42e-12 ***
## relationship 0.29083 0.05364 5.422 5.90e-08 ***
## accomplishment 0.08805 0.05846 1.506 0.13201
## autonomy 0.13225 0.05662 2.336 0.01951 *
## productivity 0.02217 0.05768 0.384 0.70076
## mindfulness 0.14406 0.05737 2.511 0.01204 *
## genderFemale 0.10856 0.11837 0.917 0.35909
## genderOther -0.90456 0.46289 -1.954 0.05068 .
## age26 - 35 years -0.48381 0.21396 -2.261 0.02374 *
## age36 - 45 years -0.15443 0.22891 -0.675 0.49990
## age46 - 55 years -0.18789 0.22746 -0.826 0.40877
## age56 - 65 years 0.09334 0.23526 0.397 0.69155
## ageOver 65 years 0.72146 0.24468 2.949 0.00319 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1992.1 on 1937 degrees of freedom
## Residual deviance: 1891.9 on 1925 degrees of freedom
## AIC: 1917.9
##
## Number of Fisher Scoring iterations: 4fit0 %>%
tidy(conf.int = T, exp = T) %>% datatable() %>% formatRound(columns = c(2:7), digits = 2)fit1 <- happyfin %>%
glm(if_feel_happy ~ relationship + accomplishment + autonomy + productivity + mindfulness + gender + age + alco + education_basic + education_prof + social_class + employer + work_hour + work_contract, family = binomial, data = .)
summary(fit1)##
## Call:
## glm(formula = if_feel_happy ~ relationship + accomplishment +
## autonomy + productivity + mindfulness + gender + age + alco +
## education_basic + education_prof + social_class + employer +
## work_hour + work_contract, family = binomial, data = .)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.5855 0.2921 0.4992 0.6866 1.7215
##
## Coefficients:
## Estimate
## (Intercept) 1.957875
## relationship 0.249180
## accomplishment -0.001925
## autonomy 0.156400
## productivity -0.074564
## mindfulness 0.166929
## genderFemale 0.294692
## genderOther -0.238245
## age26 - 35 years -0.843489
## age36 - 45 years -0.785459
## age46 - 55 years -0.739192
## age56 - 65 years -0.429709
## ageOver 65 years 0.418663
## alcoYes -0.543630
## education_basicPrimary school or lower secondary school -0.334806
## education_basicUpper secondary education (matriculation examination) -0.199228
## education_profVocational course, other short vocational training 0.592141
## education_profVocational school (upper secondary level) 0.426662
## education_profCollege level vocational education (post-secondary non-tertiary) 0.658773
## education_profUniversity of applied sciences degree (Bachelor's) 0.490934
## education_profUniversity degree (Bachelor's or Master's) 0.232138
## social_classLower middle class 0.363380
## social_classMiddle class 0.763928
## social_classUpper middle class 1.636086
## social_classUpper class 0.961790
## social_classDo not belong to any class 0.017159
## employerMunicipality, joint municipal authority -0.250958
## employerPublicly owned corporation -0.548803
## employerPrivate (or own) business -0.486999
## employerVoluntary or civic organisation/association -0.214158
## employerOther employer -0.390849
## work_hourHalf-time (around 20 hours a week) 0.010114
## work_hourPart-time -0.303987
## work_hourOther working hours -0.760341
## work_contractFixed-term -0.256222
## Std. Error
## (Intercept) 0.493261
## relationship 0.061832
## accomplishment 0.067259
## autonomy 0.066350
## productivity 0.066627
## mindfulness 0.066801
## genderFemale 0.138517
## genderOther 0.625053
## age26 - 35 years 0.270675
## age36 - 45 years 0.292131
## age46 - 55 years 0.294677
## age56 - 65 years 0.306176
## ageOver 65 years 0.336890
## alcoYes 0.299227
## education_basicPrimary school or lower secondary school 0.291457
## education_basicUpper secondary education (matriculation examination) 0.324464
## education_profVocational course, other short vocational training 0.348611
## education_profVocational school (upper secondary level) 0.243387
## education_profCollege level vocational education (post-secondary non-tertiary) 0.276795
## education_profUniversity of applied sciences degree (Bachelor's) 0.276293
## education_profUniversity degree (Bachelor's or Master's) 0.256864
## social_classLower middle class 0.207541
## social_classMiddle class 0.185804
## social_classUpper middle class 0.330693
## social_classUpper class 1.130698
## social_classDo not belong to any class 0.191331
## employerMunicipality, joint municipal authority 0.301515
## employerPublicly owned corporation 0.347262
## employerPrivate (or own) business 0.273545
## employerVoluntary or civic organisation/association 0.378246
## employerOther employer 0.368497
## work_hourHalf-time (around 20 hours a week) 0.595483
## work_hourPart-time 0.214987
## work_hourOther working hours 0.187831
## work_contractFixed-term 0.164794
## z value
## (Intercept) 3.969
## relationship 4.030
## accomplishment -0.029
## autonomy 2.357
## productivity -1.119
## mindfulness 2.499
## genderFemale 2.127
## genderOther -0.381
## age26 - 35 years -3.116
## age36 - 45 years -2.689
## age46 - 55 years -2.508
## age56 - 65 years -1.403
## ageOver 65 years 1.243
## alcoYes -1.817
## education_basicPrimary school or lower secondary school -1.149
## education_basicUpper secondary education (matriculation examination) -0.614
## education_profVocational course, other short vocational training 1.699
## education_profVocational school (upper secondary level) 1.753
## education_profCollege level vocational education (post-secondary non-tertiary) 2.380
## education_profUniversity of applied sciences degree (Bachelor's) 1.777
## education_profUniversity degree (Bachelor's or Master's) 0.904
## social_classLower middle class 1.751
## social_classMiddle class 4.111
## social_classUpper middle class 4.947
## social_classUpper class 0.851
## social_classDo not belong to any class 0.090
## employerMunicipality, joint municipal authority -0.832
## employerPublicly owned corporation -1.580
## employerPrivate (or own) business -1.780
## employerVoluntary or civic organisation/association -0.566
## employerOther employer -1.061
## work_hourHalf-time (around 20 hours a week) 0.017
## work_hourPart-time -1.414
## work_hourOther working hours -4.048
## work_contractFixed-term -1.555
## Pr(>|z|)
## (Intercept) 7.21e-05
## relationship 5.58e-05
## accomplishment 0.97716
## autonomy 0.01841
## productivity 0.26309
## mindfulness 0.01246
## genderFemale 0.03338
## genderOther 0.70308
## age26 - 35 years 0.00183
## age36 - 45 years 0.00717
## age46 - 55 years 0.01213
## age56 - 65 years 0.16048
## ageOver 65 years 0.21397
## alcoYes 0.06925
## education_basicPrimary school or lower secondary school 0.25067
## education_basicUpper secondary education (matriculation examination) 0.53920
## education_profVocational course, other short vocational training 0.08940
## education_profVocational school (upper secondary level) 0.07960
## education_profCollege level vocational education (post-secondary non-tertiary) 0.01731
## education_profUniversity of applied sciences degree (Bachelor's) 0.07559
## education_profUniversity degree (Bachelor's or Master's) 0.36613
## social_classLower middle class 0.07997
## social_classMiddle class 3.93e-05
## social_classUpper middle class 7.52e-07
## social_classUpper class 0.39498
## social_classDo not belong to any class 0.92854
## employerMunicipality, joint municipal authority 0.40523
## employerPublicly owned corporation 0.11402
## employerPrivate (or own) business 0.07502
## employerVoluntary or civic organisation/association 0.57127
## employerOther employer 0.28885
## work_hourHalf-time (around 20 hours a week) 0.98645
## work_hourPart-time 0.15737
## work_hourOther working hours 5.17e-05
## work_contractFixed-term 0.11999
##
## (Intercept) ***
## relationship ***
## accomplishment
## autonomy *
## productivity
## mindfulness *
## genderFemale *
## genderOther
## age26 - 35 years **
## age36 - 45 years **
## age46 - 55 years *
## age56 - 65 years
## ageOver 65 years
## alcoYes .
## education_basicPrimary school or lower secondary school
## education_basicUpper secondary education (matriculation examination)
## education_profVocational course, other short vocational training .
## education_profVocational school (upper secondary level) .
## education_profCollege level vocational education (post-secondary non-tertiary) *
## education_profUniversity of applied sciences degree (Bachelor's) .
## education_profUniversity degree (Bachelor's or Master's)
## social_classLower middle class .
## social_classMiddle class ***
## social_classUpper middle class ***
## social_classUpper class
## social_classDo not belong to any class
## employerMunicipality, joint municipal authority
## employerPublicly owned corporation
## employerPrivate (or own) business .
## employerVoluntary or civic organisation/association
## employerOther employer
## work_hourHalf-time (around 20 hours a week)
## work_hourPart-time
## work_hourOther working hours ***
## work_contractFixed-term
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1725.5 on 1741 degrees of freedom
## Residual deviance: 1543.3 on 1707 degrees of freedom
## (196 observations deleted due to missingness)
## AIC: 1613.3
##
## Number of Fisher Scoring iterations: 5fit1 %>%
tidy(conf.int = T, exp = T) %>% datatable() %>% formatRound(columns = c(2:7), digits = 2)glimpse(happyfin)## Rows: 1,938
## Columns: 64
## $ FSD_ID <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15,…
## $ happy_family <dbl> 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4…
## $ happy_social <dbl> 4, 5, 5, 4, 5, 4, 4, 5, 3, 5, 3, 4, 5, 5, 5, 4…
## $ happy_love <dbl> 5, 5, 5, 4, 5, 5, 5, 4, 2, 5, 5, 5, 5, 5, 5, 4…
## $ happy_income <dbl> 3, 5, 5, 5, 5, 5, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5…
## $ happy_wealth <dbl> 1, 3, 2, 3, 2, 2, 3, 2, 2, 2, 4, 3, 4, 1, 3, 3…
## $ happy_health <dbl> 5, 4, 5, 4, 5, 3, 5, 3, 5, 5, 5, 5, 5, 4, 5, 4…
## $ happy_likejob <dbl> 5, 4, 4, 4, 4, 3, 4, 4, 5, 5, 4, 4, 4, 5, 5, 5…
## $ happy_employed <dbl> 2, 3, 4, 4, 4, 4, 4, 4, 5, 4, 4, 5, 5, 4, 5, 5…
## $ happy_learn.expc <dbl> 5, 4, 4, 4, 5, 5, 4, 4, 2, 3, 4, 4, 2, 5, 4, 4…
## $ happy_time.hobby <dbl> 4, 3, 5, 4, 4, 5, 4, 4, 4, 3, 4, 3, 3, 5, 4, 4…
## $ happy_status <dbl> 2, 3, 2, 4, 4, 3, 3, 2, 3, 1, 3, 2, 2, 3, 3, 3…
## $ happy_influence <dbl> 3, 4, 2, 4, 5, 3, 3, 2, 4, 3, 3, 3, 3, 5, 4, 4…
## $ happy_religion <dbl> 5, 4, 1, 4, 2, 1, 3, 1, 2, 1, 3, 5, 1, 1, 1, 3…
## $ happy_nature <dbl> 5, 4, 5, 4, 5, 4, 5, 4, 5, 3, 4, 5, 5, 5, 3, 3…
## $ feel_happy <fct> very happy, very happy, Fairly happy, Not very…
## $ if_feel_happy <fct> happy, happy, happy, unhappy, happy, happy, un…
## $ alco <fct> No, No, No, No, No, No, No, No, No, No, No, No…
## $ alco_family_state <chr> "non_alco_nonalcofamily", "non_alco_nonalcofam…
## $ gender <fct> Male, Male, Male, Male, Male, Male, Male, Male…
## $ age <fct> 26 - 35 years, 36 - 45 years, Over 65 years, 4…
## $ resi_population <fct> "30,000 - 80,000 inhabitants", "Over 80,000 in…
## $ resi_region <fct> Uusimaa, Uusimaa, Northern Ostrobothnia, Pirka…
## $ employer <fct> "Publicly owned corporation", "Private (or own…
## $ work_hour <fct> Full-time, Full-time, Full-time, Part-time, Fu…
## $ work_contract <fct> Permanent or indefinite contract, Permanent or…
## $ education_basic <fct> Upper secondary education (matriculation exami…
## $ education_prof <fct> "University degree (Bachelor's or Master's)", …
## $ occupation <fct> "Intermediate level employee (clerical, techni…
## $ industry <fct> "Private services", "Private services", "Publi…
## $ union_if <fct> No, Yes, No, Yes, No, Yes, No, No, No, Yes, Ye…
## $ party_vote <fct> Finns Party (PS), Social Democratic Party of F…
## $ social_class <fct> Middle class, Upper middle class, Middle class…
## $ househould_income <fct> "10,000 - 20,000 euros/year", "Over 90,000 eur…
## $ YOB <dbl> 1986, 1980, 1952, 1968, 1977, 1971, 1954, 1958…
## $ relationship <dbl> 0.59, 1.03, 0.83, -0.74, 0.68, 0.49, 0.35, 0.4…
## $ accomplishment <dbl> -0.94, 0.38, -0.64, 1.40, 1.17, 0.41, 0.33, -0…
## $ autonomy <dbl> 1.23, 0.06, 0.31, 0.30, 1.29, 0.87, -0.13, -0.…
## $ productivity <dbl> -1.71, -0.89, 0.20, -0.27, -0.45, -1.05, -0.15…
## $ mindfulness <dbl> 1.18, 0.23, 0.63, 0.45, 1.07, -0.05, 1.30, -0.…
## $ productivity_trans <dbl> 2.229350, 2.037155, 1.749286, 1.878829, 1.9261…
## $ relationship_trans <dbl> 0.4329004, 0.5347594, 0.4830918, 0.2747253, 0.…
## $ mindfulness_trans <dbl> 1.462874, 1.757840, 1.640122, 1.694107, 1.5000…
## $ if_autonomy <chr> "1", "1", "1", "1", "1", "1", "0", "0", "0", "…
## $ if_accomplishment <chr> "0", "1", "0", "1", "1", "1", "1", "0", "1", "…
## $ attitude_emph_num <int> 3, 4, 4, 3, 4, 3, 3, 1, 3, 2, 4, 3, 3, 4, 4, 3…
## $ gender_enter <fct> Male, Male, Male, Male, Male, Male, Male, Male…
## $ years_old <dbl> 16, 22, 50, 34, 25, 31, 48, 44, 44, 48, 47, 54…
## $ age_enter <fct> 26~55 years, 26~55 years, Over 55 years, 26~55…
## $ if_autonomy_enter <fct> 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1…
## $ if_accomplishment_enter <fct> 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1…
## $ attitude_emph_num_enter <int> 3, 4, 4, 3, 4, 3, 3, 1, 3, 2, 4, 3, 3, 4, 4, 3…
## $ relationship_enter <dbl> 0.59, 1.03, 0.83, -0.74, 0.68, 0.49, 0.35, 0.4…
## $ productivity_enter <dbl> -1.71, -0.89, 0.20, -0.27, -0.45, -1.05, -0.15…
## $ autonomy_enter <dbl> 1.23, 0.06, 0.31, 0.30, 1.29, 0.87, -0.13, -0.…
## $ accomplishment_enter <dbl> -0.94, 0.38, -0.64, 1.40, 1.17, 0.41, 0.33, -0…
## $ mindfulness_enter <dbl> 1.18, 0.23, 0.63, 0.45, 1.07, -0.05, 1.30, -0.…
## $ alco_family_state_enter <fct> non_alco_nonalcofamily, non_alco_nonalcofamily…
## $ resi_population_enter <fct> "Over 8,000 inhabitants", "Over 8,000 inhabita…
## $ employer_enter <fct> Paid work, Paid work, Paid work, Paid work, Pa…
## $ education_basic_enter <fct> Upper secondary education, Upper secondary edu…
## $ education_prof_enter <fct> Any type of vocational education, Any type of …
## $ social_class_enter <fct> Middle class, Upper middle or upper class, Mid…
## $ househould_income_enter <fct> "10,000 - 20,000 euros/year", "Over 90,000 eur…with(summary(fit1), 1 - deviance/null.deviance)## [1] 0.1055821get_labels(happyfin$education_prof)## [1] "No vocational education"
## [2] "Vocational course, other short vocational training"
## [3] "Vocational school (upper secondary level)"
## [4] "College level vocational education (post-secondary non-tertiary)"
## [5] "University of applied sciences degree (Bachelor's)"
## [6] "University degree (Bachelor's or Master's)"dependent <- "if_feel_happy"
explanatory <- c("relationship", "accomplishment", "autonomy", "productivity", "mindfulness", "gender", "age", "alco", "education_basic", "education_prof", "social_class", "employer", "work_contract", "work_hour")
happyfin %>% summary_factorlist(dependent, explanatory, p = T) %>% datatable()?finalfit
glimpse(happyfin)## Rows: 1,938
## Columns: 64
## $ FSD_ID <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15,…
## $ happy_family <dbl> 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4…
## $ happy_social <dbl> 4, 5, 5, 4, 5, 4, 4, 5, 3, 5, 3, 4, 5, 5, 5, 4…
## $ happy_love <dbl> 5, 5, 5, 4, 5, 5, 5, 4, 2, 5, 5, 5, 5, 5, 5, 4…
## $ happy_income <dbl> 3, 5, 5, 5, 5, 5, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5…
## $ happy_wealth <dbl> 1, 3, 2, 3, 2, 2, 3, 2, 2, 2, 4, 3, 4, 1, 3, 3…
## $ happy_health <dbl> 5, 4, 5, 4, 5, 3, 5, 3, 5, 5, 5, 5, 5, 4, 5, 4…
## $ happy_likejob <dbl> 5, 4, 4, 4, 4, 3, 4, 4, 5, 5, 4, 4, 4, 5, 5, 5…
## $ happy_employed <dbl> 2, 3, 4, 4, 4, 4, 4, 4, 5, 4, 4, 5, 5, 4, 5, 5…
## $ happy_learn.expc <dbl> 5, 4, 4, 4, 5, 5, 4, 4, 2, 3, 4, 4, 2, 5, 4, 4…
## $ happy_time.hobby <dbl> 4, 3, 5, 4, 4, 5, 4, 4, 4, 3, 4, 3, 3, 5, 4, 4…
## $ happy_status <dbl> 2, 3, 2, 4, 4, 3, 3, 2, 3, 1, 3, 2, 2, 3, 3, 3…
## $ happy_influence <dbl> 3, 4, 2, 4, 5, 3, 3, 2, 4, 3, 3, 3, 3, 5, 4, 4…
## $ happy_religion <dbl> 5, 4, 1, 4, 2, 1, 3, 1, 2, 1, 3, 5, 1, 1, 1, 3…
## $ happy_nature <dbl> 5, 4, 5, 4, 5, 4, 5, 4, 5, 3, 4, 5, 5, 5, 3, 3…
## $ feel_happy <fct> very happy, very happy, Fairly happy, Not very…
## $ if_feel_happy <fct> happy, happy, happy, unhappy, happy, happy, un…
## $ alco <fct> No, No, No, No, No, No, No, No, No, No, No, No…
## $ alco_family_state <chr> "non_alco_nonalcofamily", "non_alco_nonalcofam…
## $ gender <fct> Male, Male, Male, Male, Male, Male, Male, Male…
## $ age <fct> 26 - 35 years, 36 - 45 years, Over 65 years, 4…
## $ resi_population <fct> "30,000 - 80,000 inhabitants", "Over 80,000 in…
## $ resi_region <fct> Uusimaa, Uusimaa, Northern Ostrobothnia, Pirka…
## $ employer <fct> "Publicly owned corporation", "Private (or own…
## $ work_hour <fct> Full-time, Full-time, Full-time, Part-time, Fu…
## $ work_contract <fct> Permanent or indefinite contract, Permanent or…
## $ education_basic <fct> Upper secondary education (matriculation exami…
## $ education_prof <fct> "University degree (Bachelor's or Master's)", …
## $ occupation <fct> "Intermediate level employee (clerical, techni…
## $ industry <fct> "Private services", "Private services", "Publi…
## $ union_if <fct> No, Yes, No, Yes, No, Yes, No, No, No, Yes, Ye…
## $ party_vote <fct> Finns Party (PS), Social Democratic Party of F…
## $ social_class <fct> Middle class, Upper middle class, Middle class…
## $ househould_income <fct> "10,000 - 20,000 euros/year", "Over 90,000 eur…
## $ YOB <dbl> 1986, 1980, 1952, 1968, 1977, 1971, 1954, 1958…
## $ relationship <dbl> 0.59, 1.03, 0.83, -0.74, 0.68, 0.49, 0.35, 0.4…
## $ accomplishment <dbl> -0.94, 0.38, -0.64, 1.40, 1.17, 0.41, 0.33, -0…
## $ autonomy <dbl> 1.23, 0.06, 0.31, 0.30, 1.29, 0.87, -0.13, -0.…
## $ productivity <dbl> -1.71, -0.89, 0.20, -0.27, -0.45, -1.05, -0.15…
## $ mindfulness <dbl> 1.18, 0.23, 0.63, 0.45, 1.07, -0.05, 1.30, -0.…
## $ productivity_trans <dbl> 2.229350, 2.037155, 1.749286, 1.878829, 1.9261…
## $ relationship_trans <dbl> 0.4329004, 0.5347594, 0.4830918, 0.2747253, 0.…
## $ mindfulness_trans <dbl> 1.462874, 1.757840, 1.640122, 1.694107, 1.5000…
## $ if_autonomy <chr> "1", "1", "1", "1", "1", "1", "0", "0", "0", "…
## $ if_accomplishment <chr> "0", "1", "0", "1", "1", "1", "1", "0", "1", "…
## $ attitude_emph_num <int> 3, 4, 4, 3, 4, 3, 3, 1, 3, 2, 4, 3, 3, 4, 4, 3…
## $ gender_enter <fct> Male, Male, Male, Male, Male, Male, Male, Male…
## $ years_old <dbl> 16, 22, 50, 34, 25, 31, 48, 44, 44, 48, 47, 54…
## $ age_enter <fct> 26~55 years, 26~55 years, Over 55 years, 26~55…
## $ if_autonomy_enter <fct> 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1…
## $ if_accomplishment_enter <fct> 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1…
## $ attitude_emph_num_enter <int> 3, 4, 4, 3, 4, 3, 3, 1, 3, 2, 4, 3, 3, 4, 4, 3…
## $ relationship_enter <dbl> 0.59, 1.03, 0.83, -0.74, 0.68, 0.49, 0.35, 0.4…
## $ productivity_enter <dbl> -1.71, -0.89, 0.20, -0.27, -0.45, -1.05, -0.15…
## $ autonomy_enter <dbl> 1.23, 0.06, 0.31, 0.30, 1.29, 0.87, -0.13, -0.…
## $ accomplishment_enter <dbl> -0.94, 0.38, -0.64, 1.40, 1.17, 0.41, 0.33, -0…
## $ mindfulness_enter <dbl> 1.18, 0.23, 0.63, 0.45, 1.07, -0.05, 1.30, -0.…
## $ alco_family_state_enter <fct> non_alco_nonalcofamily, non_alco_nonalcofamily…
## $ resi_population_enter <fct> "Over 8,000 inhabitants", "Over 8,000 inhabita…
## $ employer_enter <fct> Paid work, Paid work, Paid work, Paid work, Pa…
## $ education_basic_enter <fct> Upper secondary education, Upper secondary edu…
## $ education_prof_enter <fct> Any type of vocational education, Any type of …
## $ social_class_enter <fct> Middle class, Upper middle or upper class, Mid…
## $ househould_income_enter <fct> "10,000 - 20,000 euros/year", "Over 90,000 eur…#happyScores <- happyScores %>% mutate(peace_trans = log(peace),
# relationship_trans = log(relationship))
#happyScores %>%
# pivot_longer(c(accomplishment,autonomy, peace_trans, relationship_trans, work_health), names_to = "factors", values_to = "scores") %>%
# ggplot(aes(x = scores, fill = factors)) +
# geom_histogram() +
# facet_wrap(~factors) +
# xlim(-6,6)## Factor Analysis using method = pa
## Call: fa(r = happyscale[, -1], nfactors = 2, rotate = "oblimin", scores = "regression",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA1 PA2 h2 u2 com
## happy_family -0.07 0.75 0.536 0.46 1.0
## happy_social 0.11 0.60 0.413 0.59 1.1
## happy_love 0.02 0.68 0.468 0.53 1.0
## happy_income 0.27 0.24 0.174 0.83 2.0
## happy_wealth 0.45 -0.10 0.186 0.81 1.1
## happy_health 0.28 0.24 0.178 0.82 1.9
## happy_likejob 0.55 0.15 0.375 0.63 1.1
## happy_employed 0.40 0.12 0.205 0.79 1.2
## happy_learn.expc 0.53 0.09 0.318 0.68 1.1
## happy_time.hobby 0.40 0.14 0.217 0.78 1.3
## happy_status 0.63 -0.16 0.356 0.64 1.1
## happy_influence 0.51 -0.04 0.252 0.75 1.0
## happy_religion 0.12 0.10 0.032 0.97 1.9
## happy_nature 0.19 0.20 0.101 0.90 2.0
##
## PA1 PA2
## SS loadings 2.07 1.74
## Proportion Var 0.15 0.12
## Cumulative Var 0.15 0.27
## Proportion Explained 0.54 0.46
## Cumulative Proportion 0.54 1.00
##
## With factor correlations of
## PA1 PA2
## PA1 1.0 0.3
## PA2 0.3 1.0
##
## Mean item complexity = 1.3
## Test of the hypothesis that 2 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 2.76 with Chi Square of 5340.53
## The degrees of freedom for the model are 64 and the objective function was 0.72
##
## The root mean square of the residuals (RMSR) is 0.07
## The df corrected root mean square of the residuals is 0.08
##
## The harmonic number of observations is 1938 with the empirical chi square 1645.87 with prob < 1.2e-301
## The total number of observations was 1938 with Likelihood Chi Square = 1381.59 with prob < 1.3e-246
##
## Tucker Lewis Index of factoring reliability = 0.643
## RMSEA index = 0.103 and the 90 % confidence intervals are 0.098 0.108
## BIC = 897.15
## Fit based upon off diagonal values = 0.9
## Measures of factor score adequacy
## PA1 PA2
## Correlation of (regression) scores with factors 0.86 0.87
## Multiple R square of scores with factors 0.74 0.76
## Minimum correlation of possible factor scores 0.49 0.51
##
## Loadings:
## PA1 PA2
## happy_likejob 0.549
## happy_learn.expc 0.531
## happy_status 0.625
## happy_influence 0.513
## happy_family 0.749
## happy_social 0.601
## happy_love 0.677
## happy_income
## happy_wealth 0.451
## happy_health
## happy_employed 0.404
## happy_time.hobby 0.401
## happy_religion
## happy_nature
##
## PA1 PA2
## SS loadings 1.988 1.651
## Proportion Var 0.142 0.118
## Cumulative Var 0.142 0.260## Factor Analysis using method = pa
## Call: fa(r = happyscale[, -1], nfactors = 3, rotate = "oblimin", scores = "regression",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA1 PA2 PA3 h2 u2 com
## happy_family -0.08 0.80 0.00 0.610 0.39 1.0
## happy_social 0.15 0.57 0.00 0.404 0.60 1.1
## happy_love 0.05 0.66 0.00 0.465 0.53 1.0
## happy_income 0.23 0.24 0.09 0.170 0.83 2.3
## happy_wealth -0.09 0.04 0.74 0.511 0.49 1.0
## happy_health 0.26 0.22 0.08 0.176 0.82 2.1
## happy_likejob 0.44 0.14 0.20 0.359 0.64 1.6
## happy_employed 0.26 0.14 0.20 0.194 0.81 2.4
## happy_learn.expc 0.69 -0.03 -0.01 0.454 0.55 1.0
## happy_time.hobby 0.52 0.05 -0.02 0.284 0.72 1.0
## happy_status 0.17 -0.06 0.64 0.497 0.50 1.2
## happy_influence 0.43 -0.06 0.18 0.253 0.75 1.4
## happy_religion 0.12 0.09 0.03 0.033 0.97 1.9
## happy_nature 0.44 0.09 -0.20 0.201 0.80 1.5
##
## PA1 PA2 PA3
## SS loadings 1.74 1.68 1.19
## Proportion Var 0.12 0.12 0.09
## Cumulative Var 0.12 0.24 0.33
## Proportion Explained 0.38 0.36 0.26
## Cumulative Proportion 0.38 0.74 1.00
##
## With factor correlations of
## PA1 PA2 PA3
## PA1 1.00 0.31 0.34
## PA2 0.31 1.00 0.12
## PA3 0.34 0.12 1.00
##
## Mean item complexity = 1.5
## Test of the hypothesis that 3 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 2.76 with Chi Square of 5340.53
## The degrees of freedom for the model are 52 and the objective function was 0.46
##
## The root mean square of the residuals (RMSR) is 0.05
## The df corrected root mean square of the residuals is 0.07
##
## The harmonic number of observations is 1938 with the empirical chi square 1012.98 with prob < 3e-178
## The total number of observations was 1938 with Likelihood Chi Square = 895.82 with prob < 3.9e-154
##
## Tucker Lewis Index of factoring reliability = 0.718
## RMSEA index = 0.092 and the 90 % confidence intervals are 0.086 0.097
## BIC = 502.21
## Fit based upon off diagonal values = 0.94
## Measures of factor score adequacy
## PA1 PA2 PA3
## Correlation of (regression) scores with factors 0.85 0.88 0.83
## Multiple R square of scores with factors 0.72 0.77 0.69
## Minimum correlation of possible factor scores 0.45 0.54 0.39
##
## Loadings:
## PA1 PA2 PA3
## happy_learn.expc 0.685
## happy_time.hobby 0.520
## happy_family 0.802
## happy_social 0.574
## happy_love 0.664
## happy_wealth 0.736
## happy_status 0.640
## happy_income
## happy_health
## happy_likejob 0.443
## happy_employed
## happy_influence 0.429
## happy_religion
## happy_nature 0.436
##
## PA1 PA2 PA3
## SS loadings 1.583 1.587 1.119
## Proportion Var 0.113 0.113 0.080
## Cumulative Var 0.113 0.226 0.306## Factor Analysis using method = pa
## Call: fa(r = happyscale[, -1], nfactors = 4, rotate = "oblimin", scores = "regression",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA3 PA2 PA1 PA4 h2 u2 com
## happy_family 0.79 0.00 -0.10 0.03 0.607 0.3931 1.0
## happy_social 0.59 0.01 0.14 0.02 0.419 0.5809 1.1
## happy_love 0.70 0.02 0.06 -0.04 0.505 0.4949 1.0
## happy_income 0.13 -0.06 0.05 0.46 0.269 0.7311 1.2
## happy_wealth 0.01 0.47 -0.14 0.25 0.302 0.6980 1.7
## happy_health 0.14 -0.03 0.12 0.34 0.215 0.7852 1.6
## happy_likejob 0.04 0.06 0.25 0.48 0.423 0.5770 1.6
## happy_employed -0.03 0.01 -0.02 0.70 0.467 0.5332 1.0
## happy_learn.expc -0.02 0.02 0.69 0.06 0.505 0.4950 1.0
## happy_time.hobby 0.07 0.01 0.51 0.04 0.304 0.6957 1.1
## happy_status 0.01 1.00 0.02 -0.02 1.002 -0.0022 1.0
## happy_influence -0.01 0.26 0.43 -0.04 0.298 0.7015 1.7
## happy_religion 0.12 0.09 0.09 -0.02 0.039 0.9613 2.9
## happy_nature 0.11 -0.12 0.39 0.02 0.177 0.8230 1.4
##
## PA3 PA2 PA1 PA4
## SS loadings 1.61 1.36 1.32 1.23
## Proportion Var 0.12 0.10 0.09 0.09
## Cumulative Var 0.12 0.21 0.31 0.40
## Proportion Explained 0.29 0.25 0.24 0.22
## Cumulative Proportion 0.29 0.54 0.78 1.00
##
## With factor correlations of
## PA3 PA2 PA1 PA4
## PA3 1.00 0.09 0.29 0.32
## PA2 0.09 1.00 0.31 0.26
## PA1 0.29 0.31 1.00 0.37
## PA4 0.32 0.26 0.37 1.00
##
## Mean item complexity = 1.4
## Test of the hypothesis that 4 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 2.76 with Chi Square of 5340.53
## The degrees of freedom for the model are 41 and the objective function was 0.21
##
## The root mean square of the residuals (RMSR) is 0.03
## The df corrected root mean square of the residuals is 0.05
##
## The harmonic number of observations is 1938 with the empirical chi square 420.71 with prob < 1.8e-64
## The total number of observations was 1938 with Likelihood Chi Square = 409.65 with prob < 2.7e-62
##
## Tucker Lewis Index of factoring reliability = 0.844
## RMSEA index = 0.068 and the 90 % confidence intervals are 0.062 0.074
## BIC = 99.31
## Fit based upon off diagonal values = 0.97
##
## Loadings:
## PA3 PA2 PA1 PA4
## happy_family 0.793
## happy_social 0.588
## happy_love 0.701
## happy_status 0.998
## happy_learn.expc 0.686
## happy_time.hobby 0.508
## happy_employed 0.699
## happy_income 0.455
## happy_wealth 0.472
## happy_health 0.343
## happy_likejob 0.475
## happy_influence 0.426
## happy_religion
## happy_nature 0.390
##
## PA3 PA2 PA1 PA4
## SS loadings 1.537 1.320 1.200 1.113
## Proportion Var 0.110 0.094 0.086 0.080
## Cumulative Var 0.110 0.204 0.290 0.369
##
## Pearson's product-moment correlation
##
## data: a$feel_happy_numeric and a$mindfulness
## t = 4.2814, df = 1936, p-value = 1.948e-05
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.05254649 0.14076624
## sample estimates:
## cor
## 0.09684658## fl_h_ rltns accmp atnmy prdct mndfl
## feel_happy_numeric 1.00
## relationship 0.19 1.00
## accomplishment 0.03 0.00 1.00
## autonomy 0.09 0.00 0.00 1.00
## productivity 0.03 0.00 0.00 0.00 1.00
## mindfulness 0.10 0.00 0.00 0.00 0.00 1.002.5.2 wrangle factor scores for modeling
Based on the histograms above, it is found that productivity, mindfulness and relationship might
happyfin %>% filter(!gender == "Other") %>%
select(relationship:mindfulness, feel_happy, if_feel_happy, gender) %>%
pivot_longer(relationship:mindfulness,
names_to = "factors",
values_to = "scores") %>%
group_by(if_feel_happy, factors, gender) %>%
summarise(mean.score = mean(scores), sd.score = sd(scores)) %>%
ggplot(aes(x = factors, y = mean.score, fill = gender)) +
geom_bar(stat = "identity", color = "black", position=position_dodge(1))+
geom_errorbar(aes(ymin = mean.score-sd.score, ymax = mean.score+sd.score), width = .3, position=position_dodge(1))+
facet_wrap(~if_feel_happy)
#generate the variable
emph_type <- happyfin %>%
select(1, relationship:mindfulness) %>%
pivot_longer(relationship:mindfulness,
names_to = "factors",
values_to = "scores") %>%
group_by(FSD_ID) %>%
filter(scores == max(scores))
emph_type$scores <- NULL #delete the column "scores".
happyfin2 <- left_join(happyfin, emph_type) #join the data sets
happyfin2 <- happyfin2 %>% rename("attitude_emph_type" = "factors") #rename it
#check the new variable's relation with perceived happiness
happyfin2 %>%
ggplot(aes(x = attitude_emph_type, fill = feel_happy)) +
geom_bar (position = "fill")
happyfin %>% filter(!gender == "Other") %>%
select(relationship:mindfulness, feel_happy, if_feel_happy, gender) %>%
pivot_longer(relationship:mindfulness,
names_to = "factors",
values_to = "scores") %>%
ggplot(aes(x= feel_happy, y = scores, fill = feel_happy))+
geom_dotplot(binaxis = "y",
stackdir = "center",
dotsize = 0.3,
position = position_jitter(0.01),
width = 0.5,
method = "histodot") +
facet_wrap(~factors, ncol = 2)+
stat_summary(fun.data = "mean_sdl",
fun.args = list(mult=1),
geom = "pointrange",
color = "red",
width = 0.2)+
theme(axis.text.x = element_text(angle =25),
legend.position ="none")
?geom_dotplot
?stat_summary
?position_jitter